Collaborative AI and Robotics Laboratory
The Collaborative AI and Robotics Lab focuses on algorithms enabling safe and effective human-robot collaboration. Research spans manufacturing, disaster response, autonomous vehicles, and space exploration, developing novel methods in task planning, motion planning, and explainable AI.
Recent publications
All papers →Matched by this lab's specialties (keyword overlap + direct affiliation)
Review and perspectives on multimodal perception, mutual cognition, and embodied execution for human–robot collaboration in Industry 5.0
Kai Ding, Qingyuan Mao, Yaqian Zhang +3 more
Robotics and Computer-Integrated Manufacturing · 2026
Feature fusion-enhanced multi-agent reinforcement learning algorithm for human–robot collaborative flexible job shop scheduling
Jinsheng Li, Peng Zhang, Wenbing Xiang +2 more
Robotics and Computer-Integrated Manufacturing · 2027
Automatic behavior tree generation for enhanced human–robot collaborative task planning in industry 5.0: A systematic review
Pierre Hémono, Ahmed Nait Chabane, M’hammed Sahnoun +1 more
Robotics and Computer-Integrated Manufacturing · 2027
SyntheFormer: A multivariate variable-length time series data-based parallel Transformer model for explainable quality predicting and anomaly tracing
Jiewu Leng, Xiaofeng Zhu, Jiahe Li +8 more
Robotics and Computer-Integrated Manufacturing · 2026
Constrained motion planning for reduced jerk in robotic additive manufacturing systems
Sean Rescsanski, Suyog Ghungrad, Azadeh Haghighi +2 more
Robotics and Computer-Integrated Manufacturing · 2026
Lightweight visual SLAM and traversability mapping for space robotics: Real-time operation in challenging environments
César Debeunne, Alex Torres, Damien Vivet
Robotics and Autonomous Systems · 2026