Trustworthy Autonomous Systems Laboratory (TASL)
Welcome to the Trustworthy Autonomous Systems Laboratory at the University of California, Riverside!

Highlights

Our Research

Our Research

The ultimate goal of our research is to enable trustworthy, interactive, and human-centered autonomous embodied agents that can perceive, understand, and reason about the physical world; safely interact and collaborate with humans; and efficiently coordinate with other intelligent agents so that they can benefit society in daily lives. To accomplish this goal, our team has been pursuing interdisciplinary research that develops fundamental theories and practical algorithms grounded in robotics, machine learning, reinforcement learning, computer vision, control theory, and optimization, which are validated on various robotic hardware platforms such as humanoid mobile manipulators, quadrupeds, autonomous vehicles, manipulators, and drones.

Single-Robot Social Navigation
Single-Robot Social Navigation
Multi-Robot Cooperative Social Navigation
Multi-Robot Cooperative Social Navigation
Multi-Robot Cooperative Object Goal Navigation
Multi-Robot Cooperative Object Goal Navigation
Single-Robot Human Following
Single-Robot Human Following
Long-Horizon Robotic Manipulation
Long-Horizon Robotic Manipulation
Personalized Autonomous Driving
Personalized Autonomous Driving
Our Team

Our Team

This lab is directed by Prof. Jiachen Li. Lab members consist of students with backgrounds in engineering, computer science, and mathematics. Our lab is actively seeking multiple highly motivated talents to join us as Ph.D. students (fully funded), master/undergraduate students, onsite/remote research interns (outside of UC Riverside), visiting scholars, or postdoctoral researchers. If you are interested in joining us, please follow the application instructions on the Join Us page.

We gratefully acknowledge the supports from:
NSF UCR OASIS