Rishabh Yadav
Papers
1
Total Citations
5
H-Index
1
About
Rishabh Yadav is a rising researcher in autonomous vehicle systems, with a primary focus on robust control theory and cooperative driving dynamics. His most impactful work, "Adaptive Sliding Mode Control for Autonomous Vehicle Platoon under Unknown Friction Forces" (2021, 5 citations), addresses a critical bottleneck in connected vehicle technology: maintaining safe, stable formation when road-tire friction is unpredictable due to changing surfaces or wear. Yadav’s contribution lies in designing an adaptive sliding mode controller that compensates for these unknown friction forces without requiring precise system models, making platooning more resilient in real-world conditions. This work is notable for bridging the gap between theoretical control robustness and practical implementation challenges in autonomous convoys. While his citation count is still building, the paper’s focus on a fundamental, unsolved problem—uncertain friction—positions it as a foundational reference for researchers tackling adaptive control in vehicular networks. Yadav’s research is particularly relevant for students and engineers working on safe, scalable autonomous driving systems, as it demonstrates how adaptive control can enhance safety and reliability in cooperative vehicle maneuvers.
Research Focus
Key Achievements
Top Papers
- 1