Papers
18
Total Citations
322
H-Index
11
About
Richard H. Middleton is a leading figure in robotics and control systems, whose work has fundamentally advanced the precision and adaptability of autonomous machines. His research centers on robot dynamics, adaptive control, and the integration of vision and locomotion for legged robots. Middleton’s major contributions include pioneering methods for improving the dynamic accuracy of robots performing repetitive tasks—a technique that leverages the discrete-time internal model principle to achieve progressive performance gains. He also developed hybrid adaptive control schemes for rigid-link robots, ensuring global stability even with discrete coefficient updates, and introduced novel approaches for handling time-varying parameters in path tracking. His impact is evidenced by his most-cited paper (91 citations) on dynamic accuracy, alongside influential studies on support vector machines for color classification and collision detection in the RoboCup domain, notably with the Sony AIBO robot. Middleton’s work on rolling shutter image compensation and traction monitoring for collision detection further underscores his practical contributions to real-world autonomous systems. His research has been instrumental in bridging theoretical control theory with tangible robotic applications, making him a key reference for students and engineers in robotics and intelligent systems.
Research Focus
Key Achievements
Top Papers
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- 3Techniques for Improving Vision and Locomotion on the Sony AIBO Robot31 citations · 2003
- 4Rolling Shutter Image Compensation23 citations · 2007
- 5
- 6Hybrid adaptive control for robot manipulators21 citations · 2003
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- 9Extensions to Object Recognition in the Four-Legged League13 citations · 2005
- 10Traction Monitoring for Collision Detection with Legged Robots11 citations · 2004