Weiying Wan

University of Science and Technology Beijing

Papers

Total Citations

H-Index

About

Weiying Wan is a robotics and control systems researcher whose work centers on the design, modeling, and intelligent control of musculoskeletal robots — biologically inspired systems that mimic the structure and mechanics of human muscles and skeletons. Their research bridges biomechanics and advanced control theory, with a particular focus on developing sophisticated controllers capable of handling the inherent nonlinearities and complexities of these systems. Among Wan's most notable contributions is their 2025 study on adaptive dynamic programming for musculoskeletal robots, which introduced a bionic muscle dynamics model and optimized angle tracking control by analyzing the geometric relationships between muscles and skeletal structures, earning 5 citations. Their earlier 2022 work applied model predictive control (MPC) to an upper limb musculoskeletal robot driven by artificial muscles, demonstrating practical control strategies grounded in joint torque and angle analysis, accumulating 2 citations. Wan's research is particularly relevant to the growing fields of rehabilitation robotics, prosthetics, and human-robot interaction, where biologically realistic movement is essential. Their integration of learning-based and predictive control methods positions them as an emerging contributor to next-generation intelligent robotic systems.