Baozhen Liu

China Astronaut Research and Training Center

Papers

Total Citations

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About

Baozhen Liu is a leading researcher in robotics, with a primary focus on trajectory planning and obstacle avoidance for serial robot systems. Their most-cited work, "An intermediate point obstacle avoidance algorithm for serial robot" (2018), addresses a critical challenge in industrial automation: ensuring smooth, efficient movement while navigating around obstacles. Liu’s proposed algorithm introduces intermediate waypoints to optimize robot paths, significantly enhancing motion fluidity and computational efficiency—a contribution that has garnered 13 citations and influenced subsequent studies in real-time robotic control. Beyond this flagship paper, Liu’s broader research explores optimization algorithms for serial manipulators, aiming to balance speed, safety, and precision in dynamic environments. Their work is particularly impactful for applications in manufacturing, logistics, and collaborative robotics, where safe and seamless human-robot interaction is paramount. By bridging theoretical algorithm design with practical implementation, Liu continues to advance the field of robotic motion planning, offering scalable solutions that improve both performance and reliability.