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About

Dr. Fashan Yu is a leading researcher in multi-robot systems and autonomous mobile robotics, with a primary focus on formation control under real-world physical constraints. His most significant work addresses the challenge of column formation for multi-robot systems subject to input limitations, where he introduced a novel leader-follower framework that leverages the Lyapunov method to derive remarkably simple controllers using just two feedback parameters. This work, alongside his development of an elliptic approximation approach for formation control, provides elegant solutions to the complex problem of coordinating robots with bounded actuation. Dr. Yu has also made important contributions to autonomous navigation, including obstacle avoidance strategies using binocular stereovision and robust control of nonholonomic mobile robots. His research extends to compensating for nonlinear actuator imperfections, such as deadzone nonlinearities, and designing non-fragile controllers for precise trajectory tracking. While his foundational papers have garnered early citations, his work on constrained formation control represents a key step toward deploying reliable multi-robot teams in practical environments where actuator limits are unavoidable.