Max Robotics — Global Service Robot Directory + US Certification

About

Yiqun Li is a robotics researcher whose work spans motion planning, control theory, and soft robotics. Li’s primary contributions lie in developing novel algorithms for wheel-legged and articulated robots, with a focus on safe trajectory generation using discrete mechanics and optimal control. Their 2022 paper on path tracking for skid-steered mobile robots on slopes, integrating fuzzy systems with model predictive control, has garnered 18 citations, while their quaternion beam model for hard-magnetic flexible cantilevers (2023) has also reached 18 citations, demonstrating impact in both rigid and soft robotic systems. Li’s work on hybrid safety certificates for fast collision checking in sampling-based motion planning (2022, 5 citations) addresses critical efficiency challenges in robot configuration spaces. More recently, Li has ventured into soft biomaterials, co-authoring a 2024 study on 3D printing silicone organogel elastomers for structured soft biomaterials (4 citations), showcasing interdisciplinary reach. Their 2025 paper on FDSPC—fast and direct smooth motion planning via continuous curvature integration—further advances mobile robot navigation. With each project, Li bridges theoretical optimization and practical robotic deployment, making their research valuable for students and engineers seeking robust, real-world solutions.