Trustworthy Autonomous Systems Laboratory
The Trustworthy Autonomous Systems Laboratory at UC Riverside develops fundamental theories and practical algorithms for trustworthy, interactive, and human-centered autonomous embodied agents. The lab pursues interdisciplinary research in robotics, machine learning, reinforcement learning, and computer vision.
Notable achievements
Trustworthy autonomous agents research, human-centered robotics
Notable work
Recent publications
All papers →Matched by this lab's specialties (keyword overlap + direct affiliation)
A fusion prediction model of tool wear based on physical information and machine learning in five-axis milling TC4 titanium alloy
Shaoqing Qin, Lida Zhu, Yanpeng Hao +7 more
Robotics and Computer-Integrated Manufacturing · 2026
PAEAR: Point Clouds Area Exploration and Active Recognition method driven by reinforcement learning for robotic welding
Yong Tao, Donghua Tan, Fan Ren +6 more
Robotics and Computer-Integrated Manufacturing · 2026
Stable region enhanced online learning method for intermediate verification latency and concept drift
Zixin Zhong, Liyan Song, Fengzhen Tang +1 more
Pattern Recognition · 2026
Copilot: A framework for integrating LLM and BMI to enhance human–robot interaction
Siyu Liu, Mengzhen Liu, Zhiyuan Ming +6 more
Robotics and Computer-Integrated Manufacturing · 2026
Multi-pass cutting parameters optimisation with causal reinforcement learning for deformation control of thin-walled parts
Fengyi Lu, Guanghui Zhou, Chao Zhang +2 more
Robotics and Computer-Integrated Manufacturing · 2026
Generalized machine learning model for deformation prediction and compensation in robotic machining
Taehwa Hong, Gyuho Kim, Seong Hyeon Kim +1 more
Robotics and Computer-Integrated Manufacturing · 2026