Gourav Roy
Papers
2
Total Citations
114
H-Index
2
About
Gourav Roy is a leading researcher in autonomous systems and reinforcement learning, with a focus on bridging the gap between simulation and real-world robotics. His most notable contribution is the development of **DeepRacer**, an autonomous racing platform designed for end-to-end experimentation with Sim2Real reinforcement learning. Roy’s work demonstrates how a 1/18th scale car can learn to drive autonomously using only a monocular camera, systematically addressing key challenges in intelligent control systems. His two seminal papers on DeepRacer have garnered **114 combined citations**, underscoring their influence in both academic research and educational contexts. By creating an accessible, scalable platform, Roy has enabled researchers and students to explore complex RL problems—from perception to policy transfer—in a tangible, high-impact setting. His work stands out for its dual role: advancing cutting-edge autonomous navigation while serving as a powerful teaching tool for the next generation of AI practitioners.
Research Focus
Key Achievements
Top Papers
- 1
- 2