Papers
1
Total Citations
11
H-Index
1
About
Tanmay Pandey is a robotics researcher whose work centers on autonomous navigation and real-time 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), has garnered 11 citations and addresses a fundamental challenge in robotics: enabling a robot to navigate unfamiliar environments using only locally sensed information. Pandey’s key contribution lies in modifying the classic Bug algorithm to improve efficiency in dynamic, real-time settings, where rapid speed calculation and path rescheduling are critical. This work is particularly relevant for applications in search-and-rescue, warehouse automation, and autonomous exploration. By focusing on the intersection of sensor-based control and algorithmic robustness, Pandey has provided a practical solution for robots operating without pre-mapped environments. His research underscores the importance of adaptive decision-making in autonomous systems, making his findings valuable for students and engineers developing cost-effective, reactive navigation strategies. As the field moves toward more intelligent and responsive robots, Pandey’s insights into obstacle avoidance and path optimization continue to inform both academic study and real-world robotic design.
Research Focus
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Top Papers
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