Peng Song

Papers

Total Citations

181

H-Index

About

Peng Song is a robotics researcher whose work has made significant contributions to the field of multi-robot systems and cooperative manipulation. His most recognized contribution, "A Potential Field Based Approach to Multi-Robot Manipulation" (2003), has garnered 181 citations and introduced an influential framework for decentralized planning and control among robot teams. This work addressed a fundamental challenge in robotics: enabling multiple autonomous robots to coordinate seamlessly without centralized oversight. By leveraging potential field theory, Song's framework allows robots to intelligently approach objects, self-organize into effective formations, and collectively execute complex manipulation tasks — a capability with profound implications for industrial automation, search and rescue, and autonomous systems. His research bridges theoretical control strategies with practical multi-robot deployment, offering scalable solutions that remain relevant as robotic systems grow increasingly sophisticated. The sustained citation impact of his work reflects its foundational role in shaping how researchers approach decentralized robot coordination, making Song a notable figure for students and practitioners exploring the intersection of motion planning, swarm robotics, and cooperative control systems.