Papers
1
Total Citations
11
H-Index
1
About
Aniket Kumar is a researcher in robotics and autonomous systems, with a primary focus on path planning and obstacle avoidance for mobile robots. His most cited work, "Modified Critical Point – A Bug Algorithm for Path Planning and Obstacle Avoiding of Mobile Robot" (2020), introduces an innovative adaptation of classic bug algorithms to enhance real-time navigation in unfamiliar environments. This contribution addresses a fundamental challenge in autonomous robotics: enabling robots to efficiently compute and reschedule paths using only locally sensed information, without relying on global maps. With 11 citations, this paper has provided a practical framework for improving robot mobility in dynamic, real-world settings. Kumar’s research is particularly valuable for students and engineers working on autonomous navigation, as it bridges theoretical algorithm design with real-time implementation constraints. His work underscores the importance of speed and adaptability in path planning, offering solutions that are both computationally efficient and robust. By refining bug algorithms, Kumar has contributed to the broader goal of making mobile robots more autonomous and reliable in unfamiliar terrains, a critical step toward their deployment in search-and-rescue, industrial automation, and service robotics.
Research Focus
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Top Papers
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