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About

Qingkai Yang is a leading researcher in multi-robot systems, formation control, and tensegrity robotics. His work bridges rigorous mathematical foundations with practical engineering solutions, fundamentally advancing how teams of robots coordinate and move. Yang’s most impactful contribution is his pioneering approach to constructing universally rigid tensegrity frameworks, a breakthrough with broad applications in multi-agent formation control (38 citations). He has also developed innovative distributed control strategies for nonholonomic mobile robots (23 citations) and addressed critical challenges in motion planning under signal temporal logic specifications in partially unknown environments (19 citations). His recent work on distributed variation parameter design for dynamic formation maneuvers with bearing constraints (10 citations) and relative localization using UWB-IMU measurements (8 citations) demonstrates his continued leadership in enabling robust, real-world multi-robot operations. Yang’s research extends to the design and modeling of tensegrity hopping robots, showcasing his versatility in creating novel robotic platforms. With over 120 total citations, his work is widely recognized for its theoretical depth and practical impact, making him a key figure in the fields of cooperative robotics and rigid graph theory.