Vikas Bahl
Papers
12
Total Citations
162
H-Index
8
About
Vikas Bahl is a leading researcher in autonomous mobile robotics, with a focus on control systems for omni-directional and wheeled mobile robots. His work centers on path tracking, iterative learning control, and visual servoing, particularly for vehicles like the ODIS (Omni-Directional Inspection System) and USU T-series robots. Bahl’s major contributions include the development of the scalar ε-controller, a spatial path tracking algorithm that eliminates lag-related errors common in time-based approaches, and the design of a learning feedforward controller using a dilated B-spline network to enhance feedback control performance. His most cited paper, "Learning Feedforward Control Using a Dilated B-Spline Network" (43 citations), demonstrates his impact in iterative learning techniques. Bahl also advanced visual servoing for autonomous alignment with parking lot lines and integrated planning-based AI decision-making with supervisory control logic for intelligent behavior generation. His research, supported by the US Army TACOM Intelligent Mobility Program, has been instrumental in improving maneuverability and autonomy for unmanned ground vehicles, with over 150 total citations across his key publications.
Research Focus
Key Achievements
Top Papers
- 1
- 2Modelling and control of a six-wheeled autonomous robot24 citations · 2000
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- 7Spatial integration for a nonlinear path tracking control law9 citations · 2002
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- 10WIRELESS VISUAL SERVOING FOR ODIS – AN UNDER CAR INSPECTION MOBILE ROBOT6 citations · 2002