Welcome to Prof. H. Eric Tseng’s Lab
ETAIC (Emergent Technologies for Autonomy, Intelligence, and Control) Research laboratory focuses on the development of intelligent agents that combine Reinforcement Learning, modern control theory, and game-theoretic human-robot collaboration. Our research explores cutting-edge directions such as Multi-Agent Reinforcement Learning, closed-loop integration of Large Language Models, and trustworthy autonomy in human-cyber-physical systems.
ETAIC Lab is led by Professor Hongtei Eric Tseng, a member of the U.S. National Academy of Engineering (NAE). ETAIC Lab welcomes collaborations across AI, robotics, and control engineering to build the next generation of intelligent, robust, and human-compatible autonomous systems. To bridge theory and practice, ETAIC Lab emphasizes experimental validation. Researchers have full access to a comprehensive suite of robotic platforms and testing facilities, including humanoid robots, wheeled robots, scaled autonomous vehicles, robotic arms, and UAVs, supported by a 3D motion capture system and both indoor and outdoor netted drone arenas.
Highlights
Our Research
We explore how cutting-edge AI, control theory, and human-robot interaction can be harnessed to build intelligent agents capable of complex tasks. Our core focus is on developing advanced control strategies for micro-mobility robots—both wheeled and legged platforms like humanoids and quadrupeds—enabling intelligent transport and service functionalities. We also investigate multi-robot collaboration and swarm intelligence to achieve seamless teamwork among robot fleets. Additionally, we work on safe, energy-efficient control for autonomous and electric vehicles. Bridging theory and real-world deployment, our lab is equipped with diverse robotic platforms, along with a 3D motion capture system and drone arenas for rigorous experimental validation.
Our Projects
ETAIC Lab advances intelligent autonomous systems through projects with practical impact. We focus on adaptive control for humanoid and quadrupedal robots in micro-mobility, enhancing their agility and manipulation in complex environments. We develop multi-agent control algorithms for drones and autonomous vehicles to optimize delivery and transportation in dynamic urban settings. Our work also includes trustworthy human-robot collaboration for shared driving autonomy, and we design energy-aware predictive control systems for electric autonomous vehicles to promote sustainable urban mobility.
Our Team
ETAIC Lab is led by Prof. H. Eric Tseng, a member of the U.S. National Academy of Engineering and recipient of seven Henry Ford Technology Awards. With nearly 30 years at Ford Motor Company as Senior Technical Leader, Prof. Tseng’s innovations in autonomous systems, vehicle dynamics and powertrain control have been widely adopted in production models. He holds over 110 U.S. patents and has coauthored 150+ publications, including key book chapters. His leadership brings deep industrial insight and academic rigor, positioning ETAIC Lab at the forefront of embodied AI and micro-mobility research.