Papers
11
Total Citations
101
H-Index
6
About
Xiaobu Yuan is a researcher whose work sits at the dynamic intersection of biologically inspired computing, robotics, and intelligent manufacturing systems. His research has made meaningful contributions to two principal domains: neural network-based robot motion planning and virtual assembly systems enhanced by artificial intelligence. Yuan's most recognized contribution, "Virtual Assembly with Biologically Inspired Intelligence" (2003, 34 citations), introduced a pioneering framework that enables product engineers to make assembly-related manufacturing decisions within virtual environments, eliminating the need for costly physical prototypes. Complementing this, his interactive virtual reality approach to assembly planning empowered engineers to program robotic manipulators intuitively in three-dimensional workspaces. In robotics, Yuan has consistently advanced real-time, collision-free navigation through shunting neural network architectures. His work on nonholonomic car-like robots (2002) and torque-controlled mobile robots (2004) demonstrated how biologically inspired neural dynamics could elegantly solve complex motion planning challenges in nonstationary environments. His later research on Cellular Neural Networks extended these principles to optimal multi-target path planning. With over 99 cumulative citations, Yuan's body of work reflects a coherent and sustained effort to bridge biological intelligence with practical robotics and manufacturing applications, offering tools that remain relevant to researchers in autonomous systems and intelligent production engineering.
Research Focus
Key Achievements
Top Papers
- 1Virtual assembly with biologically inspired intelligence34 citations · 2003
- 2
- 3An interactive approach of assembly planning11 citations · 2002
- 4
- 5Optimal Robot Path Planning with Cellular Neural Network9 citations · 2011
- 6Direct Virtual-hand Interface in Robot Assembly Programming7 citations · 1999
- 7Real-time planning and control of robots using shunting neural networks5 citations · 2002
- 8Neural dynamics based multiple target path planning for a mobile robot4 citations · 2007
- 9Optimal Robot Path Planning with Cellular Neural Network3 citations · 2013
- 10Feature Mapping and View Planning with Localized Surface Parameters3 citations · 1997