Ufuk Topcu wins NSF CAREER Award

Ufuk Topcu, an assistant professor of aerospace engineering and engineering mechanics, is one of eight UT Austin professors selected by the National Science Foundation (NSF) to receive a 2017 Faculty Early Career Development (CAREER) Award.

UT Robotics Teams Join Forces for RoboCup@Home Standard Platform League

Professors Niekum, Thomaz, Sentis, Mooney, and Stone, along with their students and postdocs, are banding together to create a joint entry in the new RoboCup@Home Standard Platform League using the Toyota HSR robot.

IEEE and ROS-Industrial feature NRG's gestural interface for high precision tasks

The Nuclear & Applied Robotics Group takes its hands-free interface for high precision on the road

Keeping It Simple: Engineering Students Invent Device to Improve Physical Therapy

In 2014 the Seton Brain and Spine Recovery Center had a problem. Their patients were performing shoulder exercises incorrectly and subjecting themselves to further injury. Dr. Sulzer and his students went straight to work to address the problem.

Topcu to Work with Consortium Selected to Pioneer New Autonomy Capabilities

Oden Institute Professor Ufuk Topcu will participate in the new U.S. Air Force Office of Scientific Research Center of Excellence for Assured Autonomy in Contested Environments.

My crafting makes me a better engineer—but it took me a while to realize

Texas Robotics graduate student, Christina Petlowany, shares how her experiences with crafting have helped her skills as an engineer. 

Dr. Scott Niekum Receives Young Investigator Award

Faculty Spotlight: Joydeep Biswas

Joydeep Biswas is a core faculty member at Texas Robotics leading research on long-term autonomy through his research group, the Autonomous Mobile Robotics Laboratory (AMRL)

AMRL's focus is working to enable robots to navigate and reason in unstructured human environments over extended periods of time..  Recently, AMRL's research culminated in an autonomous deployment on a trail through Eastwoods Park in Austin, Texas. The robot was able to navigate the terrain autonomously, using the insights it had learned from human demonstrations and its own observations.

Amanda Adkins

Amanda Adkins is a Ph.D. student in the Texas Robotics Graduate Portfolio Program at the University of Texas at Austin. Her work is focused on perception for long-term autonomy, specifically at the intersection of Simultaneous Localization and Mapping. Through her work, she is hoping to make real systems much more accurate, robust, and easier to be deployed by non-experts in real environments. Her professional goal is to work in industry or for the government on mobile robots or autonomous cars. 

Outracing champion Gran Turismo drivers with deep reinforcement learning

Joint project with Sony AI, and colleagues at Texas Robotics featured in Nature