Papers
10
Total Citations
151
H-Index
5
About
Yangzhou Gan is a robotics researcher whose work bridges the gap between human intention and robotic action, with a particular focus on manipulation, simulation, and medical applications. His most cited work, "Manipulation task simulation using ROS and Gazebo" (91 citations), established a foundational framework for rapid robot control implementation, enabling complex tasks like grasping and placement in virtual environments. Gan has made significant contributions to medical robotics, notably developing a robotic system for orthodontic archwire bending—a traditionally manual, skill-intensive process. His research in this area, including motion planning and vision inspection methods, addresses the critical need for customized, precise orthodontic appliances, reducing chairside time and improving treatment outcomes. Beyond medical applications, Gan has explored motion sensing-based frameworks for intuitive human-robot interaction, such as Kinect-based door opening and hand-eye calibration using 3D vision sensors. His work on master-slave control for robotic surgery and biped navigation further demonstrates his versatility. With a career spanning simulation, manipulation, and clinical robotics, Gan’s research has accumulated over 150 citations, reflecting its impact on both academic robotics and practical healthcare solutions.
Research Focus
Key Achievements
Top Papers
- 1Manipulation task simulation using ROS and Gazebo91 citations · 2014
- 2Development of a robotic system for orthodontic archwire bending19 citations · 2016
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- 4A motion sensing-based framework for robotic manipulation8 citations · 2016
- 5Kinect-based robotic manipulation for door opening6 citations · 2013
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- 10Motion sensing based framework for robot manipulation2 citations · 2016