Max Robotics — Global Service Robot Directory + US Certification

About

Yunsong Li is a robotics researcher whose work centers on autonomous navigation, path planning, and multi-modal locomotion for intelligent mobile systems. Li’s most influential contribution, “Research on Effective Path Planning Algorithm Based on Improved A* Algorithm” (2022, 19 citations), addresses a fundamental challenge in mobile robotics—reducing excessive turning points in global path planning—by proposing a refined A* algorithm that enhances both efficiency and smoothness for real-world deployment. Building on this, Li has advanced SLAM for indoor service robots, developing a Lidar-based approach that integrates an improved particle filter with scan matching to boost localization accuracy in dynamic environments like restaurants and warehouses (2023, 3 citations). More recently, Li has explored novel hybrid platforms, contributing to attitude balance control for wheeled quadruped robots using inertial measurement units (2025, 1 citation), and has also worked on point cloud processing with cascaded geometric feature modulation networks (2022, 4 citations). Across these efforts, Li demonstrates a sustained focus on bridging algorithmic innovation with practical robotic systems, from path planning and mapping to dynamic stability control—work that holds clear relevance for autonomous delivery, logistics, and field robotics.