Max Robotics — Global Service Robot Directory + US Certification

About

Jimin Liang’s research focuses on advancing collaborative and dual-arm robotics, with key contributions in kinematic control, dynamic parameter identification, and human–robot interaction. Liang pioneered the use of dual quaternion theory for kinematic control of dual-arm robots, notably the Yumi system, simplifying complex cooperative task descriptions (15 citations). In collaborative robotics, Liang developed a systematic error compensation strategy using an optimized recurrent neural network for accurate robot dynamics modeling (13 citations) and introduced an improved artificial fish swarm algorithm for parameter identification (8 citations), both critical for precise control and safe human–machine collaboration. Liang also contributed a comprehensive review of multi-robotic welding techniques (12 citations) and developed a spatial information inference method that integrates visual observation with CAD models to enhance programming by demonstration for assembly tasks (4 citations). With a growing citation impact and a focus on practical, industrially relevant solutions, Liang’s work bridges theoretical advances in robot kinematics and dynamics with real-world applications in manufacturing and assembly, making significant strides toward more intelligent, adaptive robotic systems.