Chong Zhao

Chinese Academy of Sciences, Technology and Engineering Center for Space Utilization

Papers

Total Citations

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About

Chong Zhao is a leading researcher in advanced robotics, specializing in dual-arm manipulation, motion planning, and compliant control for human-robot interaction. His most impactful work, "Obstacle Avoidance Path Planning for the Dual-Arm Robot Based on an Improved RRT Algorithm" (2022, 47 citations), addresses a critical challenge in automated production: enabling multi-arm robots to coordinate efficiently in complex, cluttered environments. By enhancing the Rapidly-exploring Random Tree (RRT) algorithm, Zhao’s approach significantly improves workspace utilization and load capacity over traditional single-arm systems, laying the groundwork for more versatile industrial robots. He further advances the field with "Compliant Control of Dual-Arm Robot in an Unknown Environment" (2022, 4 citations), which develops adaptive control strategies for tasks requiring delicate environmental interaction, such as grinding and human-robot collaboration. Demonstrating remarkable breadth, Zhao also explores bio-inspired design in "A dynamic model of tensegrity robotic fish considering soft fish skin and tail" (2024, 16 citations), integrating soft robotics principles into underwater locomotion. His work bridges theoretical innovation and practical application, with cumulative citations reflecting growing influence in robotics. Zhao’s contributions are essential reading for researchers advancing autonomous, cooperative robotic systems.