Anjan Basak
Papers
1
Total Citations
12
H-Index
1
About
Anjan Basak is a robotics researcher whose work pushes the boundaries of autonomous navigation in complex, unstructured environments. His primary research focus lies at the intersection of deep reinforcement learning and field robotics, with a particular emphasis on developing intelligent navigation systems that operate under real-world constraints. Basak’s most notable contribution is **CoverNav**, a pioneering deep reinforcement learning framework for cover-following navigation in unstructured outdoor settings. This work addresses the critical, yet under-explored, challenge of enabling autonomous vehicles to navigate covertly—remaining hidden from external observers while traversing off-road terrain. By integrating perception and planning, CoverNav represents a significant step toward practical, stealth-capable robotic systems for defense, surveillance, and search-and-rescue missions. With 12 citations since its 2023 publication, this paper has already garnered attention for its novel problem formulation and robust methodology. Basak’s research is distinguished by its focus on bridging the gap between simulated environments and real-world deployment, making his contributions highly relevant for students and researchers working on autonomous systems, reinforcement learning, and field robotics.
Research Focus
Key Achievements
Top Papers
- 1