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Publications

A Surgical Robotic Framework for Safe and Autonomous Data-Driven Learning and Manipulation of an Unknown Deformable Tissue With an Integrated Critical Space.
Murphy, B. P., & Alambeigi, F. (2023). Journal of Medical Robotics Research. 

 

A reliable and sensitive framework for simultaneous type and stage detection of colorectal cancer polyps.
Kara, O. C., Venkatayogi, N., Ikoma, N., & Alambeigi, F. (2023). Annals of Biomedical Engineering, 1-14. 

 

Author Reflections: Evolution of Surgical Techniques Through Robotic Surgery Technology. 
Hirata, Y., Alambeigi, F., & Ikoma, N. (2023). ASO Annals of Surgical Oncology, 1-2.

 

Learning to Walk by Steering: Perceptive Quadrupedal Locomotion in Dynamic Environments
Mingyo Seo, Ryan Gupta, Yifeng Zhu, Alexy Skoutnev, Luis Sentis, Yuke Zhu. IEEE International Conference on Robotics and Automation (ICRA), May 2023.

 

Ditto in the House: Building Articulated Models of Indoor Scenes through Interactive Perception.
Cheng-Chun Hsu, Zhenyu Jiang, Yuke Zhu. IEEE International Conference on Robotics and Automation (ICRA), May 2023.

 

MimicPlay: Long-Horizon Imitation Learning by Watching Human Play
Chen Wang, Linxi Fan, Jiankai Sun, Ruohan Zhang, Li Fei-Fei, Danfei Xu, Yuke Zhu, Anima Anandkumar. Technical report arXiv:2302.12422, February 2023.

 

Re-ViLM: Retrieval-Augmented Visual Language Model for Zero and Few-Shot Image Captioning. 
Zhuolin Yang, Wei Ping, Zihan Liu, Vijay Korthikanti, Weili Nie, De-An Huang, Linxi Fan, Zhiding Yu, Shiyi Lan, Bo Li, Ming-Yu Liu, Yuke Zhu, Mohammad Shoeybi, Bryan Catanzaro, Chaowei Xiao, Anima Anandkumar. Technical report arXiv:2302.04858, February 2023.
 

Cost Inference for Feedback Dynamic Games from Noisy Partial State Observations and Incomplete Trajectories. 
Li, J., Chiu, C.-Y., Peters, L., Sojoudi, S., Tomlin, C. J., & Fridovich-Keil, D. (2023). International Conference on Autonomous Agents and Multiagent Systems (AAMAS). 

 

Robust Forecasting for Robotic Control: A Game-Theoretic Approach.
Agarwal, S., Fridovich-Keil, D., & Chinchali, S. P. (2023). IEEE International Conference on Robotics and Automation (ICRA). 

 

Learning Players’ Objectives in Continuous Dynamic Games from Partial State Observations.
Peters, L., Rubies-Royo, V., Tomlin, C. J., Ferranti, L., Alonso-Mora, J., Stachniss, C., & Fridovich-Keil, D. (2023). International Journal of Robotics Research (Accepted).

 

Cost Design in Atomic Routing Games. American Control Conference
Yu, Y., Chen, S., Fridovich-Keil, D., & Topcu, U. (2023). American Control Conference (ACC). 

 

GrAVITree: Graph-based Approximate Value Function In a Tree.
Washington, P., Fridovich-Keil, D., & Schwager, M. (2023). American Control Conference (ACC). 

 

The Computation of Approximate Generalized Feedback Nash Equilibria. Laine, F., Fridovich-Keil, D., Chiu, C.-Y., & Tomlin, C. (2023). SIAM Journal on Optimization. 

 

Task Phasing: Automated Curriculum Learning from Demonstrations.
Vaibhav Bajaj, Guni Sharon, and Peter Stone. In Proceedings of the 33rd International Conference on Automated Planning and Scheduling (ICAPS 2023), July 2023.

 

A Domain-Agnostic Approach for Characterization of Lifelong Learning Systems.
Megan M. Baker, Alexander New, Mario Aguilar-Simon, Ziad Al-Halah, Sébastien M. R. Arnold, Ese Ben-Iwhiwhu, Andrew P. Brna, Ethan Brooks, Ryan C. Brown, Zachary Daniels, Anurag Daram, Fabien Delattre, Ryan Dellana, Eric Eaton, Haotian Fu, Kristen Grauman, Jesse Hostetler, Shariq Iqbal, Cassandra Kent, Nicholas Ketz, Soheil Kolouri, George Konidaris, Dhireesha Kudithipudi, Erik Learned-Miller, Seungwon Lee, Michael L. Littman, Sandeep Madireddy, Jorge A. Mendez, Eric Q. Nguyen, Christine D. Piatko, Praveen K. Pilly, Aswin Raghavan, Abrar Rahman, Santhosh Kumar Ramakrishnan, Neale Ratzlaff, Andrea Soltoggio, Peter Stone, Indranil Sur, Zhipeng Tang, Saket Tiwari, Kyle Vedder, Felix Wang, Zifan Xu, Angel Yanguas-Gil, Harel Yedidsion, Shangqun Yu, and Gautam K. Vallabha. Neural Networks, pp. 274–96, March 2023.

 

The Perils of Trial-and-Error Reward Design: Misdesign through Overfitting and Invalid Task Specifications.
Serena Booth, W Bradley Knox, Julie Shah, Scott Niekum, Peter Stone, and Alessandro Allievi. In Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI), February 2023.

 

Reward (Mis)design for autonomous driving.
W. Bradley Knox, Alessandro Allievi, Holger Banzhaf, Felix Schmitt, and Peter Stone. Artificial Intelligence, 316:103829, 2023.

 

Metric Residual Networks for Sample Efficient Goal-Conditioned Reinforcement Learning.
Bo Liu, Yihao Feng, Qiang Liu, and Peter Stone. In Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI), February 2023.

 

DM$^2$: Decentralized Multi-Agent Reinforcement Learning via Distribution Matching.
Caroline Wang, Ishan Durugkar, Elad Liebman, and Peter Stone. In Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI-23), February 2023.

 

Benchmarking Reinforcement Learning Techniques for Autonomous Navigation.
Zifan Xu, Bo Liu, Xuesu Xiao, Anirudh Nair, and Peter Stone. In Proceedings of the 2023 IEEE International Conference on Robotics and Automation (ICRA 2023), May 2023.

 

Multimodal Embodied Attribute Learning by Robots for Object-Centric Action Policies.
Xiaohan Zhang, Saeid Amiri, Jivko Sinapov, Jesse Thomason, Peter Stone, and Shiqi Zhang. Autonomous Robots, March 2023.

 

Validation of Shared Intelligence Approach for Teleoperating Telepresence Robots Through Inaccurate Interfaces.
Beraldo, G., Tonin, L., Cesta, A., Menegatti, E., Millán, J.d.R. (2023). In: Petrovic, I., Menegatti, E., Marković, I. (eds) Intelligent Autonomous Systems 17. IAS 2022. Lecture Notes in Networks and Systems, vol 577. Springer, Cham.

 

Challenges and outlook in robotic manipulation of deformable objects. 
Zhu, J., Cherubini, A., Dune, C., Navarro-Alarcon, D., Alambeigi, F., Berenson, D., ... & Gienger, M. (2022). IEEE Robotics & Automation Magazine, 29(3), 67-77. 

 

Impact of Generic Tendon Routing on Tension Loss of Tendon-Driven Continuum Manipulators With Planar Deformation.
Liu, Y., & Alambeigi, F. (2022). IEEE Robotics and Automation Letters, 7(2), 3624-3631. 

 

Flexible Surgical Robotics: Design, Modeling, Sensing and Control. 
Li, Z., Wang, L., Wu, L., Alambeigi, F., & Cheng, S. S. (2022). Frontiers in Robotics and AI, 9. 

 

Autonomous Data-Driven Manipulation of an Unknown Deformable Tissue Within Constrained Environments: A Pilot Study.
Retana, M., Nalamwar, K., Conyers, D. T., Atashzar, S. F., & Alambeigi, F. (2022, April). In 2022 International Symposium on Medical Robotics (ISMR) (pp. 1-7). IEEE. 

 

Coaxial 3D bioprinting of tri‐polymer scaffolds to improve the osteogenic and vasculogenic potential of cells in co‐culture models.
Shahabipour, F., Tavafoghi, M., Aninwene, G. E., Bonakdar, S., Oskuee, R. K., Shokrgozar, M. A., ... & Ahadian, S. (2022). Journal of Biomedical Materials Research Part A, 110(5), 1077-1089. 

 

Multiphysical analytical modeling and design of a magnetically steerable robotic catheter for treatment of peripheral artery disease.
Liu, Y., Mohanraj, T. G., Rajebi, M. R., Zhou, L., & Alambeigi, F. (2022). IEEE/ASME Transactions on Mechatronics, 27(4), 1873-1881. 

 

A Versatile Affordance Modeling Framework Using Screw Primitives to Increase Autonomy During Manipulation Contact Tasks.
Pettinger, A., Alambeigi, F., & Pryor, M. (2022). IEEE Robotics and Automation Letters, 7(3), 7224-7231. 

 

Advances in microfabrication technologies in tissue engineering and regenerative medicine.
Nadine, S., Chung, A., Diltemiz, S. E., Yasuda, B., Lee, C., Hosseini, V., ... & Ahadian, S. (2022). Artificial Organs, 46(7), E211-E243. 

 

Impaired Robotic Surgical Visualization: Archaic Issues in a Modern Operating Room. 
Venkatayogi, N., Uecker, J., Laviana, A. A., Cohen, A., Belbina, S. H., Gereta, S., ... & Alambeigi, F. (2022). 

 

A Kirigami-Based Magnetically Steerable Robotic Catheter for Treatment of Peripheral Artery Disease.
Mohanraj, T. G., Song, J., Rajebi, M. R., Zhou, L., & Alambeigi, F. (2022, August) In 2022 9th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics (BioRob) (pp. 1-6). IEEE. 

 

Toward Distributed Fiber Optic Shape Sensing of Continuum Manipulators: A Cost-effective and Simple Manufacturing of Sensor Assembly.
Nguyen, N., Parker, M., Kara, O. C., & Alambeigi, F. (2022, October). In 2022 IEEE Sensors (pp. 1-4). IEEE. 

 

HySenSe: A hyper-sensitive and high-fidelity vision-based tactile sensor.
Kara, O. C., Ikoma, N., & Alambeigi, F. (2022, October). In 2022 IEEE Sensors (pp. 1-4). IEEE. 

 

Classification of colorectal cancer polyps via transfer learning and vision-based tactile sensing. 
Venkatayogi, N., Kara, O. C., Bonyun, J., Ikoma, N., & Alambeigi, F. (2022, October). In 2022 IEEE Sensors (pp. 1-4). IEEE.

 

VIOLA: Imitation Learning for Vision-Based Manipulation with Object Proposal Priors
Yifeng Zhu, Abhishek Joshi, Peter Stone, Yuke Zhu. Conference on Robot Learning (CoRL), December 2022.

 

Learning and Retrieval from Prior Data for Skill-based Imitation Learning
Soroush Nasiriany, Tian Gao, Ajay Mandlekar, Yuke Zhu. Conference on Robot Learning (CoRL), December 2022.

 

Few-View Object Reconstruction with Unknown Categories and Camera Poses
Hanwen Jiang, Zhenyu Jiang, Kristen Grauman, Yuke Zhu. Technical report arXiv:2212.04492, December 2022.

 

MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge
Linxi Fan, Guanzhi Wang*, Yunfan Jiang*, Ajay Mandlekar, Yuncong Yang, Haoyi Zhu, Andrew Tang, De-An Huang, Yuke Zhu†, Anima Anandkumar. Conference on Neural Information Processing Systems (NeurIPS), November 2022.

 

Pre-Trained Language Models for Interactive Decision-Making
Shuang Li, Xavier Puig, Chris Paxton, Yilun Du, Clinton Wang, Linxi Fan, Tao Chen, De-An Huang, Ekin Akyürek, Anima Anandkumar, Jacob Andreas, Igor Mordatch, Antonio Torralba, Yuke Zhu. Conference on Neural Information Processing Systems (NeurIPS), November 2022.

 

Robot Learning on the Job: Human-in-the-Loop Autonomy and Learning During Deployment
Huihan Liu, Soroush Nasiriany, Lance Zhang, Zhiyao Bao, Yuke Zhu. Technical report arXiv:2211.08416, November 2022.

 

VIMA: General Robot Manipulation with Multimodal Prompts
Yunfan Jiang, Agrim Gupta*, Zichen Zhang*, Guanzhi Wang*, Yongqiang Dou, Yanjun Chen, Li Fei-Fei, Anima Anandkumar, Yuke Zhu, Linxi Fan. Technical report arXiv:2210.03094, October 2022

 

Causal Dynamics Learning for Task-Independent State Abstraction
Zizhao Wang, Xuesu Xiao, Zifan Xu, Yuke Zhu, Peter Stone. International Conference on Machine Learning (ICML), July 2022.

 

ACID: Action-Conditional Implicit Visual Dynamics for Deformable Object Manipulation
Bokui Shen, Zhenyu Jiang, Christopher Choy, Silvio Savarese, Leonidas J. Guibas, Anima Anandkumar, Yuke Zhu. Robotics: Science and Systems (RSS), June 2022

 

Ditto: Building Digital Twins of Articulated Objects from Interaction
Zhenyu Jiang, Cheng-Chun Hsu, Yuke Zhu. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2022

 

COOPERNAUT: End-to-End Driving with Cooperative Perception for Networked Vehicles
Jiaxun Cui*, Hang Qiu*, Dian Chen, Peter Stone, Yuke Zhu. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2022

 

Bongard-HOI: Benchmarking Few-Shot Visual Reasoning for Human-Object Interactions
Huaizu Jiang∗ , Xiaojian Ma*, Weili Nie, Zhiding Yu, Yuke Zhu, Anima Anandkumar. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2022

 

Augmenting Reinforcement Learning with Behavior Primitives for Diverse Manipulation Tasks
Soroush Nasiriany, Huihan Liu, Yuke Zhu. IEEE International Conference on Robotics and Automation (ICRA), May 2022

 

OSCAR: Data-Driven Operational Space Control for Adaptive and Robust Robot Manipulation
Josiah Wong, Viktor Makoviychuk, Anima Anandkumar, Yuke Zhu. IEEE International Conference on Robotics and Automation (ICRA), May 2022

 

Visually Grounded Task and Motion Planning for Mobile Manipulation
Xiaohan Zhang, Yifeng Zhu, Yan Ding, Yuke Zhu, Peter Stone, Shiqi ZhangIEEE International Conference on Robotics and Automation (ICRA), May 2022

 

RelViT: Concept-Guided Vision Transformer for Visual Relational Reasoning
Xiaojian Ma, Weili Nie, Zhiding Yu, Huaizu Jiang, Chaowei Xiao, Yuke Zhu, Song-Chun Zhu, Anima Anandkumar. International Conference on Learning Representations (ICLR), April 2022

 

Inverse Matrix Games with Unique Quantal Response Equilibrium.
Yue, Y., Salfity, J., Fridovich-Keil, D., & Topcu, U. (2022). Control Systems Letters. 

 

Alternating Direction Method of Multipliers for Decomposable Saddle-Point Problems.Karabag, M. O., Fridovich-Keil, D., & Topcu, U. (2022). Allerton Conference on Communication, Control, and Compution. 

 

Learning Mixed Strategies in Trajectory Games. Robotics: Science and Systems. Peters, L., Fridovich-Keil, D., Ferranti, L., Stachniss, C., Alonso-Mora, J., & Laine, F. (2022). 

Self-Supervised Traffic Advisors: Distributed, Multi-view Traffic Prediction for Smart Cities.Sun, J., Kousik, S., Fridovich-Keil, D., & Schwager, M. (2022). IEEE International Conference on Intelligent Transportation Systems (ITSC). 

 

GTP-SLAM: Game-Theoretic Priors for Simultaneous Localization and Mapping in Multi-Agent Scenarios.Chiu, C.-Y., & Fridovich-Keil, D. (2022). IEEE Conference on Decision and Control (CDC). 

 

Back to the Future: Efficient, Time-Consistent Solutions in Reach-Avoid Games. Anthony, D. R., Nguyen, D. P., Fridovich-Keil, D., & Fisac, J. F. (2022). IEEE International Conference on Robotics and Automation (ICRA). 

 

Coopernaut: End-to-End Driving with Cooperative Perception for Networked Vehicles.
Jiaxun Cui, Hang Qiu, Dian Chen, Peter Stone, and Yuke Zhu. In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 2022. Project website

 

Quantifying Changes in Kinematic Behavior of a Human-Exoskeleton Interactive System.
Keya Ghonasgi, Reuth Mirsky, Adrian M Haith, Peter Stone, and Ashish D Deshpande.

 

In Proceedings of the 35th International Conference on Intelligent Robots and Systems (IROS), October 2022.

 

Quantifying Human Rationality in Ad-hoc Teamwork.
Yair Hanina, Reuth Mirsky, William Macke, and Peter Stone.In AAMAS workshop on Autonomous Robots and Multirobot Systems (ARMS), May 2022.

 

Skeletal Feature Compensation for Imitation Learning with Embodiment Mismatch.
Eddy Hudson, Garrett Warnell, Faraz Torabi, and Peter Stone. In International Conference on Robotics and Automation (ICRA), May 2022.

 

Socially CompliAnt Navigation Dataset (SCAND): A Large-Scale Dataset Of Demonstrations For Social Navigation.
Haresh Karnan, Anirudh Nair, Xuesu Xiao, Garrett Warnell, Soren Pirk, Alexander Toshev, Justin Hart, Joydeep Biswas, and Peter Stone.

 

Robotics and Automation Letters (RA-L), 2022, 7:11807–14, October 2022.

 

VI-IKD: High-Speed Accurate Off-Road Navigation using Learned Visual-Inertial Inverse Kinodynamics.
Haresh Karnan, Kavan Sikand, Pranav Atreya, Sadegh Rabiee, Xuesu Xiao, Garrett Warnell, Peter Stone, and Joydeep Biswas. In International Conference on Intelligent Robots and Systems, 2022, October 2022.

 

VOILA: Visual-Observation-Only Imitation Learning for Autonomous Navigation.
Haresh Karnan, Garrett Warnell, Xuesu Xiao, and Peter Stone.In International Conference on Robotics and Automation, 2022, May 2022.

 

Adversarial Imitation Learning from Video using a State Observer.
Haresh Karnan, Garrett Warnell, Faraz Torabi, and Peter Stone.In International Conference on Robotics and Automation, 2022, May 2022.

 

Effective Mutation Rate Adaptation through Group Elite Selection.
Akarsh Kumar, Bo Liu, Risto Miikkulainen, and Peter Stone. In Proceedings of the Genetic and Evolutionary Computation Conference, July 2022.

 

BOME! Bilevel Optimization Made Easy: A Simple First-Order Approach.
Bo Liu, Mao Ye, Stephen Wright, Peter Stone, and Qiang Liu. In Conference on Neural Information Processing Systems, 2022, December 2022.

 

Continual Learning and Private Unlearning.
Bo Liu, Qiang Liu, and Peter Stone. In Proceedings of the 1st Conference on Lifelong Learning Agents (CoLLA), August 2022.

 

UT Austin Villa: RoboCup 2021 3D Simulation League Competition Champions.
Patrick MacAlpine, Bo Liu, William Macke, Caroline Wang, and Peter Stone. In Rachid Alami, Joydeep Biswas, Maya Cakmak, and Oliver Obst, editors, RoboCup 2021: Robot World Cup XXIV, pp. 314–26, Springer International Publishing, 2022.

 

Value Function Decomposition for Iterative Design of Reinforcement Learning Agents.
James MacGlashan, Evan Archer, Alisa Devlic, Takuma Seno, Craig Sherstan, Peter R. Wurman, and Peter Stone.In Conference on Neural Information Processing Systems (NeurIPS), December 2022.

 

A Survey of Ad Hoc Teamwork Research.
Reuth Mirsky, Ignacio Carlucho, Arrasy Rahman, Eliott Fosong, William Macke, Mohan Sridharan, Peter Stone, and Stefano Albrecht. In The 19th European Conference on Multi-Agent Systems (EUMAS), September 2022.

 

Task Factorization in Curriculum Learning.
Reuth Mirsky, Shahaf S. Shperberg, Yulin Zhang, Zifan Xu, Yuqian Jiang, Jiaxun Cui, and Peter Stone. In ICML workshop on Decision Awareness in Reinforcement Learning (DARL), July 2022.

 

DynaBARN: Benchmarking Metric Ground Navigation in Dynamic Environments.
Anirudh Nair, Fulin Jiang, Kang Hou, Zifan Xu, Shuozhe Li, Xuesu Xiao, and Peter Stone. In Proceedings of the 2022 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR), November 2022.

 

Real-world challenges for multi-agent reinforcement learning in grid-interactive buildings.
Kingsley Nweye, Bo Liu, Nagy Zoltan, and Peter Stone. Journal of Energy and AI, 2022, September 2022.

 

A Rule-based Shield: Accumulating Safety Rules from Catastrophic Action Effects.
Shahaf Shperberg, Bo Liu, Allessandro Allievi, and Peter Stone. In Proceedings of the 1st Conference on Lifelong Learning Agents (CoLLA), August 2022.

 

Dynamic Sparse Training for Deep Reinforcement Learning.
Ghada Sokar, Elena Mocanu, Decebal Constantin Mocanu, Mykola Pechenizkiy, and Peter Stone. In Proceedings of the 31st International Joint Conference on Artificial Intelligence, July 2022.

 

Causal Dynamics Learning for Task-Independent State Abstraction.
Zizhao Wang, Xuesu Xiao, Zifan Xu, Yuke Zhu, and Peter Stone. In Proceedings of the 39th International Conference on Machine Learning (ICML2022), July 2022.

 

Designing Physical Human-Robot Interaction Interfaces: A Scalable Method for Simulation Based Design. 
Varghese, R. J., Mukherjee, G. & Deshpande, A. D. Frontiers in Neurorobotics (2022).

 

Dynamic Finger Task Identification Using Electromyography.
Esmatloo, P., Ghonasgi, K., King, R. & Deshpande, A. D. IEEE RAS/EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob) (2022).

 

Human-Like Endtip Stiffness Modulation Inspires Dexterous Manipulation With Robotic Hands.
Shafer, A. & Deshpande, A. D. IEEE Transactions on Neural Systems and Rehabilitation Engineering 30, (2022).

 

Human-Robot Interaction: Muscle Activation and Angular Location Affect Soft Tissue Stiffness.
Yousaf, S. N., Ghonasgi, K., Esmatloo, P. & Deshpande, A. D. IEEE RAS/EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob) (2022).

 

Impact of Gravity Compensation on Upper Extremity Movements in Harmony Exoskeleton.
Hailey, R. O. et al. International Conference on Rehabilitation Robotics (ICORR) (2022). Deshpande, A. D. Novel Biomedical Technologies: Rehabilitation Robotics. Current Opinion in Biomedical Engineering 22, (2022).

 

“Moving Past Principal Component Analysis: Nonlinear Dimensionality Reduction Towards Better Hand Pose Synthesis,”
Battaglia E., Kasman, M. and Fey, A.M., 2022 International Symposium on Medical Robotics (ISMR), 2022.

 

“Frame-wise detection of surgeon stress levels during laparoscopic training using kinematic data.”
Zheng, Y., Leonard, G., Zeh, H. Rege, R., Scott, G., Fey, A.M. Int J CARS 17, 785–794 (2022).

 

“Towards Telementoring for Needle Insertion: Effects of Haptic and Visual Feedback on Mentor Perception of Trainee Forces,”
L. R. Reyes et al., 2022 IEEE Haptics Symposium (HAPTICS), 2022, pp. 1-7.

 

“A Novel Pulley-Based Simulator for Ureteroscopy with Visuo-Haptic Feedback,” 
J. Madera, C. Peters and A. M. Fey, 2022 IEEE Haptics Symposium (HAPTICS), 2022, pp. 1-6.

 

Learning to control a BMI-driven wheelchair for people with severe tetraplegia.L. Tonin, S. Perdikis, T. Deniz Kuzu, J. Pardo, B. Orset, K.Lee, M. Aach, T. A. Schildhauer, R. Martínez-Olivera, J. del R. Millán. iScience. 2022 Nov 18;25(12)105418

 

A highly stable electrode with low electrode-skin impedance for wearable brain-computer interface. 
Ju-Chun Hsieh*, Hussein Alawieh*, Yang Li*, Fumiaki Iwane, Linran Zhao, Richard Anderson, Syed Abdullah, Kai Wing Kevin Tang, Wenliang Wang, Ilya Pyatnitskiy, Yaoyao Jia, José del R. Millán*, Huiliang Wang*. Biosensors and Bioelectronics. 2022 Sep, 28 (218)114756.

 

Brain-Computer Interfaces for Treatment of Focal Dystonia.
K. Simonyan, SK Ehrlich, R. Andersen, J. Brumberg, F. Guenther, M. Hallett, MA. Howard,  J.d.R. Millán, RB. Reilly, T. Schultz, D. Valeriani. Mov Disord. 2022 Aug 10.

 

International brain-computer interface competition: A review.
JH. Jeong, JH. Cho, YE. Lee, SH. Lee, GH. Shin, YS. Kweon,  J.d.R. Millán, KR. Müller, SW Lee. 2020 Front Hum Neurosci. 2022 Jul, 22(16)898300.

 

Machine-learning based monitoring of cognitive workload in rescue missions with drones
F. Dell’Agnola, P.-K. Jao, R. Chavarriaga, J.d.R. Millán, D. Floreano, D. Atienza. (2022). . in IEEE J. of Biomedical and Health Informatics, Sep; 26(9):4751-4762.


 

Shared Intelligence for Robot Teleoperation via BMI. in IEEE Trans. Human-Machine Systems,
G. Beraldo, L. Tonin, J.d.R. Millán and E. Menegatti. (2022). 52(3):400-409.

 

A Versatile Affordance Modeling Framework Using Screw Primitives to Increase Autonomy During Manipulation Contact Tasks. 
Adam Pettinger; Farshid Alambeigi; and Mitch Pryor. IEEE Robotics and Automation Letters, 7(3): 7224–7231. July 2022.

 

 A Versatile Affordance Modeling Framework Using Screw Primitives to Increase Autonomy Optimization strategies for Bayesian source localization algorithms. 

Blake Anderson; Can Pehlivanturk; and Mitch Pryor. In Kyoto, Japan, 2022. IEEE International Conference on Intelligent Robots and Systems (IROS), In Press 

 

Optimization strategies for Bayesian source localization algorithms. 
Blake Anderson; Can Pehlivanturk; and Mitch Pryor. IEEE Transactions on Automation Science and Engineering,pages 1–10. 2022. 

 

Smooth Near Time Optimal Trajectory generation for Drones. 
Srinath Tankasala; Can Pehlivanturk; Efstathios Bakolas; and Mitch Pryor. In Proceedings of the European Control Conference 2022, London, UK, July 2022. Proceedings of the European Control Conference 2022 

 

Near Minimum Time Trajectory generation for Surveying using UAVs. 
Srinath Tankasala; Can Pehlivanturk; and Mitch Pryor. In Proceedings of the International Conference of Unmanned Aerial Systems 2022, Dubrovnik, Croatia, June 2022. Proceedings of the International Conference of Unmanned Aerial Systems 2022 

 

AugRE: Augmented Robot Environment to Facilitate Human-Robot Teaming and Communication. 
Frank Regal; Christina Petlowany; Corrie Van Sice; Chris Suarez; Blake Anderson; and Mitch Pryor. In 31st IEEE International Conference on Robot & Human Interactive Communication (RO-MAN), Naples, Italy, 2022. IEEE


 

Agent-Based Markov Modeling for Improved COVID-19 Mitigation Policies.
Roberto Capobianco, Varun Kompella, James Ault, Guni Sharon, Stacy Jong, Spencer Fox, Lauren Meyers, Peter R. Wurman, and Peter Stone. 
The Journal of Artificial Intelligence Research (JAIR), 71:953–92, August 2021.

Analytical Design of a Pneumatic Elastomer Robot with Deterministically Adjusted Stiffness. 
U Yoo, Y Liu, A Deshpande, F Alambeigi. 
IEEE Robotics and Automation Letters. 

APPLE: Adaptive Planner Parameter Learning From Evaluative Feedback.
Zizhao Wang, Xuesu Xiao, Bo Liu, Garrett Warnell, and Peter Stone. 
IEEE Robotics and Automation Letters (RA-L), October 2021.

An efficient and direct method for trajectory optimization of robots constrained by contact kinematics and forces.
Junhyeok Ahn, Steven Jorgensen, Seun Hyeon Bang, Luis Sentis. 
Autonomous Robots (AURO) 2021

Assessment of Upper-extremity Joint Angles using Harmony Exoskeleton. 
de Oliveira, A. C., Sulzer, J. S. & Deshpande, A. D. 
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2021).

Balancing Stability and Stiffness Through the Optimization of Parallel Compliance: Using Coupled Tendon Routing. 
Kim, M. & Deshpande, A. D.
IEEE Robotics & Automation Magazine 28, 14-22 (2021).

Biomechanical analysis of an unpowered hip flexion orthosis on individuals with and without Multiple Sclerosis. Journal of NeuroEngineering and Rehabilitation. Neuman, RM, Shearin, SM, McCain, KJ and Fey, NP (2021).

Challenges and outlook in robotic manipulation of deformable objects. 
Jihong Zhu, Andrea Cherubini, Claire Dune, David Navarro-Alarcon, Farshid Alambeigi, Dmitry Berenson, Fanny Ficuciello, Kensuke Harada, Xiang Li, Jia Pan, Wenzhen Yuan. 
IEEE Robotics and Automation Magazine. 2021

Closed-loop EEG study on visual recognition during driving. 
Aydarkhanov R., Ušćumlić M., Chavarriaga R., Gheorghe L.A., Millán J.d.R.
J. Neural Engineering, 18:026010.

Continuous classification of locomotion in response to task complexity and anticipatory state. Frontiers in Bioengineering and Biotechnology - Biomechanics. Kazemimoghadam, M and Fey, NP (2021).

Context-aware learning for generative models. 
Perdikis S., Leeb R., Chavarriaga R., Millán J.d.R. 
IEEE Trans. Neural Networks and Learning Systems, 32(8):3471–3483.

Contribution of interaction force to the sense of hand ownership and the sense of hand agency
M Akselrod, B Vigaru, J Duenas, R Martuzzi, J Sulzer, A Serino, O Blanke, ...
Scientific reports 11 (1), 1-18

Customizing skills for assistive robotic manipulators: An inverse reinforcement learning approach with error-related potentials. 
Batzianoulis I.*, Iwane F.*, Wei S., Gaspar Pinto C., Chavarriaga R., Millán J.d.R.*, Billard A.* 
Nature Communications Biology, 4:1406.

Data Sharing and Compression for Cooperative Networked Control
J Cheng, M Pavone, S Katti, S Chinchali, A Tang
Advances in Neural Information Processing Systems 34

DEALIO: Data-Efficient Adversarial Learning for Imitation from Observation.
Faraz Torabi, Garrett Warnell, and Peter Stone. 
In Proceedings of The IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), September 2021.

Design, Fabrication, and Validation of a New Family of 3D-Printable Structurally-Programmable Actuators for Soft Robotics. 
A. Altelbani, H Zhou, S Mehrdad, F Alambeigi, SF Atashzar. 
IEEE Robotics and Automation Letters. 2021

Design and Validation of a Novel Exoskeleton Hand Interface: The Eminence Grip.
Ghonasgi, K., Rose, C. G., de Oliveira, A. C., Varghese, R. J. & Deshpande, A. D.
IEEE International Conference on Robotics and Automation (ICRA) (2021).

Design of a Computed Tomography Automation Architecture. 
Nicholas Hashem; Mitchell Pryor; Derek Haas; and James Hunter. 
Journal of Applied Sciences, 11(6): 2858. March 2021.

Designing Physical Human-Robot Interaction Interfaces: A Scalable Method for Simulation Based Design.
Varghese, R. J., Mukherjee, G. & Deshpande, A. D. 
Frontiers in Neurorobotics (2022).

Development of a Haptic Simulator for Laparoscopic Trocar Insertion Training
AF Galvan, KA Kho, J Shields, AM Fey
Journal of Minimally Invasive Gynecology 28 (11), S98-S99

Differential neural plasticity of individual fingers revealed by fMRI neurofeedback
E Oblak, J Lewis-Peacock, J Sulzer
Journal of Neurophysiology 125 (5), 1720-1734

EEG correlates of difficulty levels in dynamical transitions of simulated flying and mapping tasks.
Jao P.-K., Chavarriaga R., Dell'Agnola F., Arza A., Atienza D., Millán J.d.R. 
IEEE Trans. Human-Machine Systems, 51(2):99–108.

Effect of External and Internal Loads on Tension Loss of Tendon-Driven Continuum Manipulators.
Y Liu, F Alambeigi. 
IEEE Robotics and Automation Letters 2021 

The Effects of EMG-Based Classification and Robot Control Method on User's Neuromuscular Effort during Real-Time Assistive Hand Exoskeleton Operation. 
Esmatloo, P. & Deshpande, A. 
International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (2021).

Efficient Real-Time Inference in Temporal Convolution Networks.
Piyush Khandelwal, James MacGlashan, Peter Wurman, and Peter Stone. 
In Proceedings of the 2021 International Conference on Robotics and Automation (ICRA 2021), May 2021.

Evaluation of Pre-Training with the da Vinci Skills Simulator on Motor Skill Acquisition in a Surgical Robotics Curriculum
E Battaglia, B Mueller, D Hogg, R Rege, D Scott, AM Fey
Journal of Medical Robotics Research, 2150006

Expected Value of Communication for Planning in Ad Hoc Teamwork.
William Macke, Reuth Mirsky, and Peter Stone. 
In Proceedings of the 35th Conference on Artificial Intelligence (AAAI), February 2021.

Formulating and Deploying Strength Amplification Controllers for Lower-Body Walking Exoskeletons.
Gray Thomas, Orion Campbell, Nick Nichols, Nicholas Brissonneau, Binghan He, Josh James, Nick Paine, and Luis Sentis.  
Frontiers Robotics and AI (2021). 

From Agile Ground to Aerial Navigation: Learning from Learned Hallucination.
Zizhao Wang, Xuesu Xiao, Alexander J Nettekoven, Kadhiravan Umasankar, Anika Singh, Sriram Bommakanti, Ufuk Topcu, and Peter Stone. 
In Proceedings of the International Conference on Intelligent Robots and Systems (IROS 2021), October 2021.

Goal Blending for Responsive Shared Autonomy in a Navigating Vehicle.
Yu-Sian Jiang, Garrett Warnell, and Peter Stone. 
In Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI), Feb 2021.

Grounded Action Transformation for Sim-to-Real Reinforcement Learning. 
Josiah P. Hanna, Siddharth Desai, Haresh Karnan, Garrett Warnell, and Peter Stone. 
Special Issue on Reinforcement Learning for Real Life, Machine Learning, 2021, May 2021.

Haptic Simulator for Trocar Insertion Training
A Galvan, AK Da Costa, J Shields, K Kho, AM Fey
2021 IEEE World Haptics Conference (WHC), 397-402

Importance Sampling in Reinforcement Learning with an Estimated Behavior Policy. 
Josiah P. Hanna, Scott Niekum, and Peter Stone. 
Machine Learning (MLJ), 110:1267–1317, May 2021.

Improvement of Hand Functions of SCI Patients with EMG-driven Hand Exoskeleton: a Feasibility Study. 
Yun, Y. et al.
Wearable Technologies (2021).

Incorporating Gaze into Social Navigation.
Justin Hart, Reuth Mirsky, Xuesu Xiao, and Peter Stone.
In Robotics: Science and Systems Workshop on Social Robot Navigation (RSS), July 2021.

Influence of Antagonistic Tensions on Distributed Friction Forces of Multisegment Tendon-Driven Continuum Manipulators With Irregular Geometry. 
Y Liu, U Yoo, S Ha, SF Atashzar, F Alambeigi. 
IEEE/ASME Transactions on Mechatronics. 2021

Intelligent Disobedience and AI Rebel Agents in Assistive Robotics.
Reuth Mirsky and Peter Stone. 
In ASIMOV workshop as part of the International Conference on Intelligent Robots and Systems (IROS), November 2021.

Invariability of EEG error-related potentials during continuous feedback protocols elicited by erroneous actions at predicted or unpredicted states. 
Iwane F., Iturrate I., Chavarriaga R., Millán J.d.R. 
J. Neural Engineering, 18:046044.

Kinematic comparison of single degree-of-freedom robotic gait trainers
J Lee, L Li, SY Shin, AD Deshpande, J Sulzer
Mechanism and Machine Theory 159, 104258

Learning Inverse Kinodynamics for Accurate High-Speed Off-Road Navigation on Unstructured Terrain.
Xuesu Xiao, Joydeep Biswas, and Peter Stone. 
IEEE Robotics and Automation Letters (RA-L), July 2021.

A Lifelong Learning Approach to Mobile Robot Navigation.
Bo Liu, Xuesu Xiao, and Peter Stone. 
IEEE Robotics and Automation Letters (RA-L), 6(2), April 2021. Presented at IEEE International Conference on Robotics and Automation (ICRA),

Locomotion Planning and Control for Humanoid Robots.
Junhyeok Ahn, Steven Jorgensen, Seun Hyeon Bang, Luis Sentis. 
Versatile Frontiers Robotics and AI (2021). 

Lower-limb kinematics and kinetics during continuously varying human locomotion. Scientific Data. Reznick, E, Embry, K, Neuman, RM, Bolivar-Nieto, E, Fey, NP and Gregg, RD (2021).

Lucid Dreaming for Experience Replay: Refreshing Past States with the Current Policy. 
Yunshu Du, Garrett Warnell, Assefaw Gebremedhin, Peter Stone, and Matthew E. Taylor. Neural Computing and Applications, May 2021.

Machine Learning Methods for Local Motion Planning: A Study of End-to-End vs. Parameter Learning.
Zifan Xu, Xuesu Xiao, Garrett Warnell, Anirudh Nair, and Peter Stone. 
In Proceedings of the 2021 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR 2021), October 2021.

Machine versus Human Attention in Deep Reinforcement Learning Tasks. 
Sihang Guo, Ruohan Zhang, Bo Liu, Yifeng Zhu, Mary Hayhoe, Dana Ballard, and Peter Stone.
In Conference on Neural Information Processing Systems (NeurIPS, 2021, December 2021.

A Method for the Analysis of Physical Human Robot Interaction. IEEE/ASME 
Yousaf, S. N., Esmatloo, P., Ghonasgi, K. & Deshpande, A. D. 
International Conference on Advanced Intelligent Mechatronics (AIM) (2021).

Model and Controller Adaption while Learning Human Preferences. 
Adam Allevato; Mitch Pryor; and Andrea Thomaz. 
In Virtual, March 2021.

A Modular Design for Distributed Measurement of Human-Robot Interaction Forces in Wearable Devices. 
Ghonasgi, K., Yousaf, S. N., Esmatloo, P. & Deshpande, A. D.
Sensors (2021).

Monitoring Fatigue-Induced Changes in Performance during Robot-Mediated Dynamic Movement. 
Madden, K. E., Djurdjanovic, D. & Deshpande, A. D. 
IEEE International Conference on Robotics and Automation (ICRA) (2021).

Multi-scale neural decoding and analysis
HY Lu, ES Lorenc, H Zhu, J Kilmarx, J Sulzer, C Xie, PN Tobler, ...
Journal of Neural Engineering 18 (4), 045013

Network offloading policies for cloud robotics: a learning-based approach
S Chinchali, A Sharma, J Harrison, A Elhafsi, D Kang, E Pergament, ...
Autonomous Robots 45 (7), 997-1012

Non-invasive brain-machine interfaces for robotic devices. 
Tonin L., Millán J.d.R.
Annual Review of Control, Robotics, and Autonomous Systems, 4:191–214.

Non-Verbal Behaviors and Hidden Hazards: an Interactions Study. 
Matthew Horn; and Mitch Pryor. 
In ACM/IEEE International Conference on HRI Workshop: Exploring Applications for Autonomous Non-Verbal Human Robot Interactions, Virtual, March 2021. IEEE

Optimization strategies for Bayesian source localization algorithms. 
Blake Anderson; and Can Pehlivanturk. 
IEEE Transactions on Robotics. 2021.

Our child’s TBI: a rehabilitation engineer’s personal experience, technological approach, and lessons learned
J Sulzer, LS Karfeld-Sulzer
Journal of neuroengineering and rehabilitation 18 (1), 1-12

Performance of sonomyographic and electromyographic sensing for continuous estimation of joint torque during ambulation on multiple terrains. IEEE Transactions on Neural Systems and Rehabilitation Engineering. Rabe, KG, Lenzi, T and Fey, NP (2021).

Policy Evaluation in Continuous MDPs with Efficient Kernelized Gradient Temporal Difference.
Alec Koppel, Garrett Warnell, Ethan Stump, Peter Stone, and Alejandro Ribeiro. 
IEEE Transactions on Automatic Control, 66(4):1856–63, April 2021.

Reactive Task and Motion Planning for Robust Whole-Body Dynamic Locomotion in Constrained Environments.
Ye Zhao, Yinan Li, Luis Sentis, Ufuk Topcu, Jun Liu. 
International Journal of Robotics Research (IJRR), 2021

Recent Advances in Leveraging Human Guidance for Sequential Decision-Making Tasks. 
Ruohan Zhang, Faraz Torabi, Garrett Warnell, and Peter Stone. 
Autonomous Agents and Multi-Agent Systems, 35(31), June 2021.

Rethinking autonomous surgery: focusing on enhancement over autonomy
E Battaglia, J Boehm, Y Zheng, AR Jamieson, J Gahan, AM Fey
European urology focus 7 (4), 696-705

Reward (Mis)design for Autonomous Driving.
W Bradley Knox, Alessandro Allievi, Holger Banzhaf, Felix Schmitt, and Peter Stone. 2021.

The Road Forward for Upper Extremity Rehabilitation Robotics. 
Rose, C. G., Deshpande, A. D., Carducci, J. & D.Brown, J. 
Current Opinion in Biomedical Engineering (2021).

Sequential Online Chore Division for Autonomous Vehicle Convoy Formation. 
Harel Yedidsion, Shani Alkoby, and Peter Stone. 
Technical Report arXiv e-Prints 2104.04159, arXiv, 2021.

Toward Agile Maneuvers in Highly Constrained Spaces: Learning from Hallucination.
Xuesu Xiao, Bo Liu, Garrett Warnell, and Peter Stone. 
IEEE Robotics and Automation Letters (RA-L), January 2021.

Ultrasound sensing can improve continuous classification of discrete ambulation modes compared to surface electromyography. IEEE Transactions on Biomedical Engineering. Rabe, KG, Jahanandish, MH, Boehm, JR, Majewicz, A, Hoyt, K and Fey, NP (2021).

Using a System-Based Monitoring Paradigm to Assess Fatigue during Submaximal Static Exercise of the Elbow Extensor Muscles. 
Madden, K., Djurdjanovic, D. & Deshpande, A. 
Sensors (2021)


Conferences

Scalable Multiagent Driving Policies For Reducing Traffic Congestion. 
Jiaxun Cui, William Macke, Harel Yedidsion, Aastha Goyal, Daniel Urieli, and Peter Stone. In Proceedings of the 20th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), May 2021.

SCAPE: Learning Stiffness Control from Augmented Position Control Experiences. 
Kim, M., Niekum, S. & Deshpande, A. 
Conference on Robot Learning. Proceedings of Machine Learning Research (2021).

A Scavenger Hunt for Service Robots.
Harel Yedidsion, Jennifer Suriadinata, Zifan Xu, Stefan Debruyn, and Peter Stone. 
In Proceedings of the 2021 International Conference on Robotics and Automation (ICRA 2021), May 2021.

Team Orienteering Coverage Planning with Uncertain Reward.
Bo Liu, Xuesu Xiao, and Peter Stone.
In International Conference on Intelligent Robots and Systems (IROS), 2021, September 2021.

TeMoto: A Software Framework for Supporting Mixed-Modality Command Inputs Necessary for Integration of Nonverbal-HRI. 
Robert Valner; Selma Wanna; Mitch Pryor; and Karl Kruusamae. 
In ACM/IEEE International Conference on HRI Workshop: Exploring Applications for Autonomous Non-Verbal Human Robot Interactions, Virtual, March 2021. IEEE

Temporal-Logic-Based Reward Shaping for Continuing Reinforcement Learning Tasks.
Yuqian Jiang, Suda Bharadwaj, Bo Wu, Rishi Shah, Ufuk Topcu, and Peter Stone. 
In Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI 2021), February 2021.

Watch Where You're Going! Gaze and Head Orientation as Predictors for Social Robot Navigation.
Blake Holman, Abrar Anwar, Akash Singh, Mauricio Tec, Justin Hart, and Peter Stone. 
In Proceedings of the International Conference on Robotics and Automation (ICRA 202), May 2021.

An Actuated Indenter for Characterization of Soft Tissue Towards Human-Centered Design.
Yousaf, S. N., Ghonasgi, K., Esmatloo, P. & Deshpande, A. D. 
IEEE/ASME  International Conference on Advanced Intelligent Mechatronics (AIM) (2021).

Adversarial Intrinsic Motivation for Reinforcement Learning. 
Ishan Durugkar, Mauricio Tec, Scott Niekum, and Peter Stone. In Proceedings of the 35th International Conference on Neural Information Processing Systems (NeurIPS 2021), December 2021.

Agile Robot Navigation through Hallucinated Learning and Sober Deployment.
Xuesu Xiao, Bo Liu, and Peter Stone. 
In Proceedings of the 2021 IEEE International Conference on Robotics and Automation (ICRA 2021), June 2021.

APPLI: Adaptive Planner Parameter Learning From Interventions. 
Zizhao Wang, Xuesu Xiao, Bo Liu, Garrett Warnell, and Peter Stone. 
In Proceedings of the International Conference on Robotics and Automation (ICRA 2021), May 2021.

APPLR: Adaptive Planner Parameter Learning from Reinforcement.
Zifan Xu, Gauraang Dhamankar, Anirudh Nair, Xuesu Xiao, Garrett Warnell, Bo Liu, Zizhao Wang, and Peter Stone. 
In. Proceedings of the 2021 IEEE International Conference on Robotics and Automation (ICRA 2021), June 2021.

Capturing Skill State in Curriculum Learning for Human Skill Acquisition. 
Keya Ghonasgi, Reuth Mirsky, Sanmit Narvekar, Bharath Masetty, Adrian M. Haith, Peter Stone, and Ashish D. Deshpande. 
In International Conference on Intelligent Robots and Systems (IROS), September 2021.

Is the Cerebellum a Model-Based Reinforcement Learning Agent?.
Bharath Masetty, Reuth Mirsky, Ashish D. Deshpande, Michael Mauk, and Peter Stone. 
In Adaptive and Learning Agents Workshop at AAMAS, May 2021.

Coach-Player Multi-Agent Reinforcement Learning for Dynamic Team Composition.
Bo Liu, Qiang Liu, Peter Stone, Animesh Garg, Yuke Zhu, and Animashree Anandkumar. 
In Proceedings of the 38th International Conference on Machine Learning, PMLR 139, 2021 (ICML), July 2021.

Conflict-Averse Gradient Descent for Multi-task learning.
Bo Liu, Xingchao Liu, Xiaojie Jin, Peter Stone, and Qiang Liu. 
In Conference on Neural Information Processing Systems (NeurIPS), 2021, December 2021.

Decentralized Sharing and Valuation of Fleet Robotic Data. Geng, Y., Zhang, D., Li, P.H., Akcin, O., Tang, A. and Chinchali, S.P., 2022, January. In Conference on Robot Learning (pp. 1795-1800). PMLR.

Nakanoya, M., Chinchali, S., Anemogiannis, A., Datta, A., Katti, S. and Pavone, M., 2021. Co-design of communication and machine inference for cloud robotics. Robotics: Science and Systems XVII, Virtual Event.

Adaptive Surgical Robotic Training Using Real-Time Stylistic Behavior Feedback Through Haptic Cues
M Ershad, R Rege, AM Fey
IEEE Transactions on Medical Robotics and Bionics 3 (4), 959-969

Approximate solutions to a class of reachability games.
D. Fridovich-Keil and C. J. Tomlin.
ICRA 2021.

Nested Mixture of Experts: Cooperative and Competitive Learning of Hybrid Dynamical System. Junhyeok Ahn and Luis Sentis. Proceedings of the 3rd Conference on Learning for Dynamics and Control, PMLR 144:779-790, 2021

A Barrier Pair Method for Safe Human-Robot Sh.ared Autonomy. Binghan He, Mahsa Ghasemi, Ufuk Topcu, Luis Sentis,  IEEE Conference on Decision and Control, December 2021

Information-Theoretic Based Target Search with Multiple Agents. Minkyu Kim, Ryan Gupta, Luis Sentis. RSS Workshop on ​​Robotics for People: Perspectives on Interaction, Learning, and Safety, July 2021

Social Navigation Based on People’s Awareness of Robots. Minkyu Kim, Jaemin Lee, Steven Jens Jorgensen, Luis Sentis, HRI workshop on Exploring Applications for Autonomous Nonverbal Human-Robot Interaction, 2021

Active Target Search for Autonomous Person Following,Minkyu Kim, Miguel Arduengo, Nick Walker, Yuqian Jiang, Justin Hart, Peter Stone, and Luis Sentis, AAAI Spring Symposium on Machine Learning for Mobile Robot Navigation in the Wild, March 2021

An Open-Source Framework for Last Mile Delivery with Heterogeneous Robots. Asha Jain, Max Svetlik, Nick Machak, Kavan Sikand, Cem Karamanli, Kaiyou Zhou, Justin Hart, Joydeep Biswas, Luis Sentis, Junfeng Jiao,  AAAI Spring Symposium on Machine Learning for Mobile Robot Navigation in the Wild, 2021

Assured Learning-Based Optimal Control subject to Timed Temporal Logic Constraints
F Fotiadis, CK Verginis, KG Vamvoudakis, U Topcu
2021 60th IEEE Conference on Decision and Control (CDC), 750-756

Augmented Lagrangian method for instantaneously constrained reinforcement learning problems.
J. Li, D. Fridovich-Keil, S. Sojoudi, and C. Tomlin. 
2021 60th IEEE Conference on Decision and Control (CDC)

An Anthropomorphic Passive Instrumented Hand for Validating Wearable Robotic Systems. 
Baskaran, A., Esmatloo, P., Times, M., Deshpande, A. & Rose, C. G. 
IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM) (2021).

Autonomous Data-Driven Manipulation of an Unknown Deformable Tissue Within Constrained Environments: A Pilot Study. 
Manuel Retana, Drew T. Conyers, S. Farokh Atashzar, and Farshid Alambeigi.
ISMR 2022

Brain computer interface-driven neuromuscular electrical stimulation therapy for motor recovery of sub-acute stroke patients: Preliminary results.
Nguyen-Danse A., Hernandez Z., Fakhreddine R.Y., Alawieh H., Nicolo P., Mac-Auliffe D., Guggisberg A., Millán J.d.R.
8th Int. BCI Meeting. Virtual Meeting. 2021

Brain signals to rescue aphasia, apraxia and dysarthria speech recognition.
Krishna G., Carnahan M., Shamapant S., Surendranath Y., Jain S. Ghosh A., Tran C., Millán J.d.R., Tewfik A.
IEEE EMBC. Virtual Meeting. 2021

Combining Reinforcement Learning with Model Predictive Control for On-Ramp Merging
J Lubars, H Gupta, S Chinchali, L Li, A Raja, R Srikant, X Wu
2021 IEEE International Intelligent Transportation Systems Conference (ITSC)

Compromised Robotic Surgical Visualization: Archaic Issues in a Modern Operating Room. 
N. Venkatayogi, J. M. Uecker, A. Laviana, A. Cohen, C. R. Idelson, and F. Alambeigi. 
2022 SAGES Annual Meeting. 

Convex Optimization for Parameter Synthesis in MDPs
M Cubuktepe, N Jansen, S Junges, JP Katoen, U Topcu
IEEE Transactions on Automatic Control

Decoding of error-related potentials for characterizing individual subjective preferences. 
Iwane F., Wei S., Iturrate I., Batzianoulis I., Chavarriaga R., Billard A., Millán J.d.R. 
8th Int. BCI Meeting. Virtual Meeting. 2021

Design and Evaluation of a Soft Robotic Catheter Tip Prototype with Self-Propulsion and Shape Changeable Teleoperation
A Galvan, A Madan, M Narayan, S Kalva, AM Fey
2021 International Symposium on Medical Robotics (ISMR), 1-6

Encoding defensive driving as a dynamic nash game.
C.-Y. Chiu*, D. Fridovich-Keil*, and C. J. Tomlin.  
ICRA 2021

A Hybrid Dual Jacobian Approach for Autonomous Control of Concentric Tube Robots in Unknown Constrained Environments.
B Thamo, F Alambeigi*, K Dhaliwal*, M Khadem*. 
IROS 2021

Identifying Kinematic Markers Associated with Intraoperative Stress during Surgical Training Tasks
Y Zheng, G Leonard, J Tellez, H Zeh, AM Fey
2021 International Symposium on Medical Robotics (ISMR), 1-7

Inferring objectives in continuous dynamic games from noise-corrupted partial state observations.
L. Peters, D. Fridovich-Keil, V. Rubies-Royo, C. Tomlin, and C. Stachniss. 
RSS 2021

Interpretable trade-offs between robot task accuracy and compute efficiency
B Ghosh, S Chinchali, PS Duggirala
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems

Move apart: A geometrical learning approach for training of motor imagery. 
Kumar S., Alawieh H., Millán J.d.R. 
8th Int. BCI Meeting. Virtual Meeting. 2021.

Multi-hypothesis interactions in game-theoretic motion planning.
F. Laine, D. Fridovich-Keil, C.-Y. Chiu, and C. J. Tomlin. 
ICRA 2021.

Rabe, KG and Fey, NP (2021). Continuous prediction of leg kinematics during ambulation using peripheral sensing of muscle activity and morphology. IEEE RAS International Symposium on Medical Robotics (ISMR). 

Femur abduction associated with transfemoral amputation alters the profile of lumbopelvic mechanical loads during generalized endlimb loading.
Jones, RF and Fey, NP (2021). 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). 

A computational framework based on medical imaging and random sampling to guide optimal residual limb designs for individuals with transfemoral limb loss.
43rdChildress, JD and Fey, NP (2021). Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). 

Ultrasound-derived features of muscle architecture provide unique temporal characterization of volitional knee motion.
Rabe, KG, Jahanandish, MH and Fey, NP (2021). 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). 

A predictive framework to provide neuromuscular insights in reshaping dynamic balance during transient locomotion.
Li, W and Fey, NP (2021). 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). 

Whole-body and segmental contributions to dynamic balance in stair ambulation are sensitive to early-stage Parkinson’s disease.
Li, W and Fey, NP (2021).43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). 

Considering the human form and its influence on the moment- and power-generating abilities of soft hip-flexion exosuits: effects of wearer bmi and sex.
Neuman, RM and Fey, NP (2021).17th IEEE/RAS-EMBS International Conference on Rehabilitation Robotics (ICORR).

Comparing sonomyography and electromyography using Bayesian regression to continuously estimate joint torques during ambulation on varying terrains.
Rabe, KG, Lenzi, T and Fey, NP (2021). 17th IEEE/RAS-EMBS International Conference on Rehabilitation Robotics (ICORR).

Benchmark comparisons of ultrasound to electromyography for estimation of joint torques during ambulation.
Rabe, KG and Fey, NP (2021). Military Health System Research Symposium (MHSRS), Advancements in Prosthetic and Orthotic Technologies that Facilitate Return to Duty Following Neuromusculoskeletal Injuries. 

Understanding speed-curvature relationships to analyze the influence of surgical recontouring to enhance residual limb form and prosthetic limb function.
Levy, ET and Fey, NP (2021). Military Health System Research Symposium (MHSRS).

Online recognition of bimanual coordination provides important context for movement data in bimanual teleoperated robots.
Boehm, JR, Fey, NP and Majewicz, A (2021). IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 

Task-invariant learning of continuous joint kinematics during steady-state and transient ambulation using ultrasound sensing. 
Jahanandish, MH, Rabe, KG, Srinivas, A, Fey, NP, and Hoyt, K (2021). IEEE International Conference on Robotics and Automation (ICRA).

Adaptable robotic gait trainer
J Sulzer, SY Shin
US Patent 11,135,119

Methods, Systems and Controllers for Facilitating Cleaning of an Imaging Element of an Imaging Device. 
F Alambeigi, A Cohen, CR Idelson, C Rylander. 
US Patent 11,102,381 B1