Meiyi Chen

Ministry of Education of the People's Republic of China, Hainan Tropical Ocean University

Papers

Total Citations

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About

Meiyi Chen is a robotics researcher whose work focuses on the intersection of autonomous manipulation and intelligent path planning for service-oriented robots. Her primary contributions lie in developing practical, real-time algorithms that enable robots to operate effectively in complex, dynamic environments—particularly in disaster response and healthcare settings. In her most impactful work, Chen proposed a comprehensive framework for quadruped robots equipped with manipulators, integrating a Grasp Detection Controller and Joint Trajectory Planner to achieve fast, precise object grasping during disaster relief operations. This paper has already garnered 8 citations in a short time, signaling its significance in the field of legged manipulation. Additionally, Chen has addressed critical challenges in medical robotics by applying Particle Swarm Optimization (PSO) for indoor path planning, allowing service robots to navigate static obstacles smoothly and efficiently. Though early in her career, Chen’s work demonstrates a clear commitment to bridging perception, planning, and control—laying the groundwork for more capable, autonomous robots that can assist in life-saving missions and healthcare logistics.