Texas Robotics provides world-class education and pursues innovative research emphasizing long-term autonomy and human-robot interaction while leveraging UT Austin’s breadth to support a broad range of industrial applications.
Human Centered Robotics Lab
The Human Centered Robotics lab designs humanoid robots and researches bipedal locomotion.
Learning Agents Research Group
The Learning Agents Research Group pertain to machine learning (especially reinforcement learning) and multiagent systems.
Nuclear Robotics Group
The Nuclear and Applied Robotics Group develops and deploys advanced robotics in hazardous environments in order to minimize risk for the human operator.
ReNeu Robotics Laboratory
The Lab focuses on the development of robotic devices, based on biomechanical analyses, to assist in rehabilitation, to improve prostheses design, and to provide fitness opportunities for the severely disabled.
U-T Autonomous Lab
The u-t autonomous group's research is on the theoretical and algorithmic aspects of design and verification of autonomous systems. It embraces the fact that autonomy does not fit traditional disciplinary boundaries, and has made numerous contributions in the intersection of formal methods, controls and learning.
Robin: Robotic Interactive Intelligence
This lab explores the mechanisms that enable intelligence in embodied agents. Inspired by biological intelligence, we developed robotic algorithms that improve robot autonomy in perception, control, knowledge representation and decision making through learning. Our goal is to create robotic helpers that enhance human everyday life.
Advanced Robotic Technologies for Surgery Lab
The ARTS lab develops high dexterity and situationally aware continuum manipulators, soft robots, and instruments especially designed for less invasive treatment of various surgical interventions.
Autonomous Mobile Robotics Laboratory
The AMRL performs research in robotics to continually make robots more autonomous, accurate, robust, and efficient in real-world unstructured environments.
Robot Perception and Learning Lab
The RPL lab aims at building general-purpose robot autonomy in the wild. We develop intelligent algorithms for robots and embodied agents to reason about and interact with the real world.
Control and Learning for Autonomous Robotics Lab
The CLeAR lab focuses on the intersection between control theory, machine learning, and game theory to design high performance, interactive autonomous robots.
Human-Enabled Robotic Technology
Our long-term goal is to develop robotic systems that are truly collaborative partners with human operators, focusing on technology for surgical intervention and medical training.
Clinical Neuroprosthetics and Brain Interaction
The focus of our research is on the direct use of human brain signals for human-robot interaction and control of neuroprostheses. The overarching objective of our research is to bring brain-machine interfaces (BMI) out of the laboratory to augment human capabilities, recover from insults to our central nervous system, and facilitate user’s acquisition of BMI skills.