Papers
8
Total Citations
43
H-Index
4
About
Dr. Jirong Wang is a leading researcher in robotics and intelligent control systems, with a primary focus on autonomous navigation, rehabilitation robotics, and manipulator control. Their most significant contribution is the development of an improved RRT∗ algorithm for obstacle avoidance path planning in complex environments, which has garnered 15 citations and directly addresses critical challenges in electric vehicle automatic charging robot arms. Dr. Wang also pioneered an adaptive predefined performance neural control scheme for robotic manipulators with unknown dead zones, earning 9 citations for its innovative use of neural networks and funnel functions to ensure transient performance. Their work extends to rehabilitation technology, including gait simulation of 2-DOF lower limb rehabilitation robots and design of passive ankle rehabilitation robots based on parallel mechanisms. Additional notable achievements include the Bridge Algorithm for intelligent trajectory planning and a variable photo-model method for object pose estimation using stereo vision. With a portfolio spanning path planning, neural control, and medical robotics, Dr. Wang’s research has practical implications for automation, healthcare, and human-robot interaction, making substantial contributions to both theoretical advancements and real-world robotic applications.
Research Focus
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