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About

Jufeng Peng is a robotics researcher whose work has made significant contributions to the field of multi-robot coordination, with a particular focus on motion planning under kinodynamic constraints. His research addresses one of robotics' most challenging problems: enabling multiple robots to operate simultaneously in shared workspaces without collisions while respecting real-world physical limitations such as velocity, acceleration, and friction. Peng's most influential contribution, "Coordinating Multiple Robots with Kinodynamic Constraints Along Specified Paths" (2005), has accumulated 229 citations and established a foundational framework for generating optimal, collision-free velocity profiles for robot teams. This work, along with related studies on double integrator dynamics and global optimality, advanced the theoretical understanding of multi-robot systems by demonstrating convexity properties that enable globally optimal solutions. His doctoral thesis synthesized these contributions into a comprehensive mathematical programming approach applicable to industrial settings such as automated guided vehicles, manufacturing workcells, and materials handling. Peng also tackled complex real-world dynamics, incorporating friction and frictional contact into optimal control frameworks using Mathematical Programming with Complementarity Constraints (MPCC). His body of work bridges theoretical rigor with practical robotics applications, making it valuable reading for students and researchers in autonomous systems, motion planning, and industrial automation.