Intelligent Robotics

AI roboticists create independently functioning agents that integrate perception, decision-making, and action to perform tasks in the real world relevant to a variety of applications.

Topics

Autonomous agents
Control theory
Embodied cognition
General-purpose robot autonomy
Human-robot interaction
Multiagent systems
Learning from demonstration
Long-term autonomy
Motion planning
Probabilistic reasoning
Reinforcement learning
Robot manipulation
Robot navigation
Robot perception
Safe learning
Social agents
Task and motion planning
Task planning

Faculty & Researchers

Faculty & Researchers
Affiliated & Emeritus
Joydeep Biswas
Associate Professor
Keith Fritz
Research Scientist Associate
Justin Hart
Assistant Professor of Practice
Brad Knox
Research Fellow
Elad Liebman
Assistant Professor of Instruction
Roberto Martin-Martin
Assistant Professor
Scott Niekum
Adjunct Assistant Professor
Shahaf Shperberg
Postdoctoral Fellow
Peter Stone
Professor
Yoonchang Sung
Postdoctoral Fellow
Corrie Van Sice
Research Scientist Associate
Xuesu Xiao
Postdoctoral Researcher
Yulin Zhang
Postdoctoral Researcher Fellow
Yuke Zhu
Assistant Professor
Benjamin Kuipers
Professor Emeritus
Ufuk Topcu
Associate Professor Cockrell Family Dean's Chair for Engineering Excellence

Centers & Labs

Autonomous Mobile Robotics Laboratory
Building-Wide Intelligence Project
Good Systems
Learning Agents Research Group
Machine Learning Lab
Personal Autonomous Robotics Lab (PeARL)
Robot Perception and Learning Lab
Texas Robotics
UT Austin Villa Robot Soccer Team

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