Shaokui Weng

Chinese University of Hong Kong, Shenzhen Institutes of Advanced Technology

Papers

Total Citations

130

H-Index

About

Shaokui Weng is a robotics researcher whose work bridges simulation, medical robotics, and human-robot interaction. His key research areas include robotic manipulation, motion planning and control, and the application of robotics in healthcare. Weng’s most influential work, “Manipulation task simulation using ROS and Gazebo” (2014, 91 citations), provides a foundational framework for implementing robot control in virtual environments, enabling rapid development of grasp-and-place missions using widely adopted open-source tools. This contribution has become a key reference for researchers and students working with Robot Operating System (ROS) and Gazebo simulators. Weng has also made significant contributions to medical robotics, particularly in orthodontic archwire bending. His 2016 paper (19 citations) and 2015 work (12 citations) address the critical need for customized archwires in lingual orthodontic treatment—a task traditionally requiring highly skilled orthodontists. By developing robotic systems for motion planning, control, and precise bending, Weng’s research reduces labor time and improves accuracy, directly impacting clinical practice. Additionally, his 2016 work on motion sensing-based frameworks (8 citations) explores more intuitive human-robot collaboration, aiming to lower the technical barrier for robot operators. With over 130 total citations, Weng’s work is shaping the future of accessible, precise robotic systems in both industrial and medical settings.