Deepak Rai
Papers
1
Total Citations
85
H-Index
1
About
Deepak Rai is a robotics researcher whose work focuses on intelligent navigation systems for autonomous mobile robots operating in complex, grid-based environments. His most impactful contribution, the paper "CARE: A Collision-Aware Mobile Robot Navigation in Grid Environment using Improved Breadth First Search" (2021), has garnered 85 citations, reflecting its significance in the field. In this work, Rai introduced a novel algorithm that enhances the classic Breadth First Search approach by integrating collision-awareness, enabling robots to plan safer and more efficient paths in dynamic settings. This innovation directly addresses a critical challenge in robotics—balancing path optimality with real-time obstacle avoidance. Rai’s research is particularly valuable for applications in warehouse automation, search-and-rescue missions, and autonomous vehicles, where reliable navigation is paramount. By improving the foundational BFS method, he has provided a practical, scalable solution that other researchers and engineers can build upon. His work stands out for its clarity and direct applicability, making it a key reference for those developing collision-aware navigation systems. Rai continues to advance the intersection of algorithm design and robotic autonomy, contributing to safer and more intelligent mobile systems.
Research Focus
Key Achievements
Top Papers
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