Papers
8
Total Citations
89
H-Index
5
About
James F. Whidborne is a leading researcher in robotics and control systems, with a focus on intelligent control, collision avoidance, and autonomous systems. His work spans from foundational control algorithms to practical multi-agent and aerial robotics. Whidborne’s most cited paper (29 citations) introduces a fuzzy sliding mode controller for robot manipulators, effectively reducing chattering and compensating for unmodeled dynamics. He also pioneered a furcated visual collision avoidance system inspired by locust neurobiology (17 citations), enabling micro-robots to reactively avoid obstacles. His contributions to fuzzy PID tuning (15 citations) and a novel three-term backpropagation algorithm (13 citations) have advanced adaptive control and neural network training. Whidborne has also developed real-time multi-agent mobile robot systems with intelligent collision avoidance and an unmanned flying observation robot for disaster surveillance with live video transmission. Notably, his recent work (2024) on a 3-DOF robotic manipulator for wind tunnel flight testing addresses a long-standing aerospace challenge. With over 89 citations across his key papers, Whidborne’s research continues to bridge theoretical control methods and real-world robotic applications.
Research Focus
Key Achievements
Top Papers
- 1Fuzzy sliding mode control for a robot manipulator29 citations · 2002
- 2A Furcated Visual Collision Avoidance System for an Autonomous Microrobot17 citations · 2018
- 3Fuzzy PID tuning for robot manipulators15 citations · 2002
- 4A new three-term backpropagation algorithm with convergence analysis13 citations · 2003
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- 7Intelligent Collision Avoidance for Multi Agent Mobile Robots3 citations · 2014
- 8Control for Novel 3-DOF Flight Testing in a Wind Tunnel2 citations · 2024