Max Robotics — Global Service Robot Directory + US Certification

About

Ruijiao Li’s research bridges assistive robotics and advanced locomotion, focusing on enhancing mobility and autonomy for vulnerable populations. A central contribution is the development of multi-robot architectures and multi-sensor navigation systems for intelligent wheelchairs, designed to support elderly and disabled individuals in living independently. Li’s seminal work, “Towards ROS Based Multi-robot Architecture for Ambient Assisted Living” (19 citations), and related studies on multi-layered map-based navigation (15 citations) pioneered practical, computationally efficient solutions for human-robot interaction in home environments, moving beyond purely geometric mapping to address real-world assistive challenges. More recently, Li has advanced bionic locomotion with the Pegasus wheel-legged quadruped, introducing hierarchical optimum control and multi-agent reinforcement learning tracking control (6 and 2 citations, respectively)—innovations that enable agile, stable movement across diverse terrains. Li’s latest work tackles complex factory farming environments with obstacle-aware path planning for robotic manipulators (1 citation), demonstrating versatility in applying robotic intelligence to industrial settings. With a career spanning foundational assistive technologies to cutting-edge legged robotics, Li’s research consistently emphasizes practical, user-centered solutions that improve quality of life and operational efficiency.