Weiming Shen

About

Weiming Shen is a prolific robotics and intelligent manufacturing researcher whose work spans more than two decades, with contributions ranging from foundational robot design to cutting-edge artificial intelligence applications. His early research made significant strides in bio-inspired robotics, including a gecko-inspired wall-climbing robot featuring innovative permanent magnetic track systems (cited 69–104 times across related publications) and distributed control algorithms enabling locomotion in self-reconfigurable robots. These foundational contributions established him as a key voice in autonomous and adaptive robotic systems. Shen's research evolved to address the intersection of robotics, networked systems, and smart manufacturing. His work on swarm behavior control of mobile multi-robots using wireless sensor networks (80 citations) and a region proposal network-based grasp detection method (104 citations) demonstrate his ability to bridge hardware design with advanced computational techniques. More recently, he has pioneered frameworks integrating cloud-edge-device collaboration for deep learning in smart robots (72 citations) and cognitive digital twins for human-robot collaboration (45 citations), reflecting a forward-thinking approach to Industry 4.0 challenges. With consistent citation impact across diverse topics including fault diagnosis and intelligent manufacturing trends, Shen represents a rare researcher whose influence bridges classical robotics engineering and modern AI-driven manufacturing innovation.

Research Focus

Key Achievements

Top Papers

1. 1
   A novel robotic grasp detection method based on region proposal networks

   104 citations · 2020
2. 2
   Swarm behavior control of mobile multi-robots with wireless sensor networks

   80 citations · 2011
3. 3
   Cloud-edge-device collaboration mechanisms of deep learning models for smart robots in mass personalization

   72 citations · 2022
4. 4
   Permanent Magnetic System Design for the Wall‐Climbing Robot

   69 citations · 2006
5. 5
   Global locomotion from local interaction in self-reconfigurable robots

   47 citations · 2003
6. 6
   A Cognitive Digital Twins Framework for Human-Robot Collaboration

   45 citations · 2022
7. 7
   Permanent Magnetic System Design for the Wall-Climbing Robot

   44 citations · 2006
8. 8
   A simple approach to the control of locomotion in self-reconfigurable robots

   37 citations · 2003
9. 9
   New Trends in Intelligent Manufacturing

   26 citations · 2019
10. 10
    MJAR: A novel joint generalization-based diagnosis method for industrial robots with compound faults

    24 citations · 2023

Key Collaborators

Contact & Links