Vikas Bahl

Utah State University

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

8
H-Index
12
Papers
162
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
Learning Feedforward Control Using a Dilated B-Spline Network: Frequency Domain Analysis and Design
43 citations · 2004
📈 Most Prolific Year: 2002 (5 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: Utah State University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago