Fraser at UCSF, in molecular form

Welcome to the ETAIC Lab!


The ETAIC (Embodied Technology for Autonomy, Intelligence, and Control) Research Lab is led by Professor H. Eric Tseng, a member of the U.S. National Academy of Engineering (NAE). Research in the lab is focused on developing embodied AI agents that integrate reinforcement learning, modern control theory, and game-theoretic approaches to enable next-generation micro-mobility devices (including assistive and mobile robots) and connected and automated vehicles.

ETAIC lab logo

Our work spans frontier topics such as multi-agent reinforcement learning, large language models with closed-loop control capabilities, and trustworthy autonomy in human-cyber-physical systems. To bridge theory with real-world deployment, the ETAIC Lab places strong emphasis on experimental validation. We are equipped with a comprehensive suite of robotic platforms and test facilities, including humanoid robots, wheeled robots, scaled autonomous vehicles, robotic arms, and UAVs. These are supported by a high-precision 3D motion capture system and dedicated indoor and outdoor netted drone arenas.

We are located in the Engineering Research Building (ERB) at the University of Texas at Arlington.

H. Eric Tseng

Distinguished University Professor
Department of Electrical Engineering
The University of Texas at Arlington
Member, National Academy of Engineering

Nedderman Hall (Office)
Engineering Research Building (Lab)
416 S. Yates St.
Arlington, TX

Interested in joining the ETAIC Research lab?

We are always looking for motivated and talented people. Open positions are listed on our Join page.

We welcome applicants from AI, Conrol and related backgrounds.

Read our Research Contents

Ongoing Projects

· Embidied AI theory: Multi-agent reinforcement learning, LLM with closed-loop capability, and game theory
· Micro-mobility Device: Trustworthy AI methods for motion control of assistive and mobile robots
· Automotive/Energy: Scalable AI foundation for ADAS, EMS, and related systems