Kousik Roy
Papers
1
Total Citations
11
H-Index
1
About
Kousik Roy is a robotics researcher whose work centers on autonomous navigation and path planning for mobile robots. His most-cited paper, "Modified Critical Point – A Bug Algorithm for Path Planning and Obstacle Avoiding of Mobile Robot" (2020, 11 citations), addresses a fundamental challenge in robotics: enabling a robot to navigate unfamiliar, real-time environments using only locally sensed information. Roy’s key contribution lies in enhancing the classic Bug algorithm by introducing a modified critical point strategy, which improves the robot’s ability to efficiently reschedule its path and avoid obstacles without requiring a global map. This work is particularly valuable for applications in dynamic and unstructured settings where speed and adaptability are critical. While his citation count is still growing, Roy’s research represents a practical step forward in making autonomous mobile robots more responsive and reliable in real-world conditions. His focus on algorithmic simplicity and real-time performance positions him as a contributor to the ongoing development of robust, sensor-driven navigation systems—a core area of interest for students and researchers working on mobile robotics and autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1