Max Robotics — Global Service Robot Directory + US Certification

About

Jinchao Miao is a leading researcher in autonomous robotics, specializing in path planning and task scheduling for mobile and agricultural robots. His work addresses the critical challenge of designing optimal, collision-free routes in complex environments, from multi-area farm operations to multi-chain robot systems. Miao’s most cited paper, “Path Planning Technique for Mobile Robots: A Review” (2023), has garnered 89 citations, establishing a comprehensive framework for understanding autonomous navigation solutions. He further advanced the field with “Multi-area collision-free path planning and efficient task scheduling optimization for autonomous agricultural robots” (2024, 19 citations), tackling the coupled problem of task sequencing and collision avoidance in agricultural settings. Most notably, Miao introduced the MT-SIPP algorithm for multi-chain robot path planning (2024), a novel approach that addresses the unique challenge of collisions between linked robot units—a problem more complex than traditional multi-robot planning. With over 110 total citations, Miao’s contributions are pivotal for developing efficient, safe autonomous systems in agriculture and logistics, making him a key figure in modern robotics research.