Tanveer Choudhury
Papers
10
Total Citations
52
H-Index
5
About
Tanveer Choudhury is a robotics researcher specializing in autonomous navigation, particularly for mobile robots operating in GPS-denied and dynamically cluttered environments. His most significant contribution is the development of the Agoraphilic Navigation Algorithm, a human-inspired, free-space attraction approach that enables robots to maneuver safely through unknown static and dynamic obstacles—a stark contrast to traditional potential-field methods that rely on repulsive forces. Choudhury’s work systematically advanced this algorithm, incorporating moving-object tracking and prediction to handle real-world challenges like dead-lock situations and moving goals. His comparative studies on object tracking algorithms for mining environments further underscore his focus on practical, field-deployable solutions. With over 50 citations across his top papers, his research has laid foundational groundwork for robust, optimistic navigation strategies. Beyond navigation, Choudhury has also contributed to robotic manipulation, developing friction-based slip detection and optimal sensing models for slippage prevention in grasping. His recent work on depth-based sampling for memoryless local planners continues to push computational efficiency in planning. For students and researchers, Choudhury’s work offers a compelling blend of theoretical innovation and applied robotics, addressing critical gaps in autonomous systems for challenging, real-world settings.
Research Focus
Key Achievements
Top Papers
- 1
- 2Agoraphilic Navigation Algorithm Under Dynamic Environment8 citations · 2021
- 3
- 4
- 5
- 6Optimal sensing requirement for slippage prevention in robotic grasping4 citations · 2015
- 7
- 8Friction-based slip detection in robotic grasping3 citations · 2015
- 9
- 10