Deepak Parappagoudar
Papers
1
Total Citations
6
H-Index
1
About
Deepak Parappagoudar is a robotics researcher whose work centers on developing efficient navigation and path planning algorithms for bipedal robots operating in complex, obstacle-rich environments. His primary research areas include motion planning, collision avoidance, and the application of computational geometry to robotic locomotion. Parappagoudar’s most notable contribution is the introduction of an innovative path planning algorithm that leverages the fast sweeping method to generate collision-free trajectories for biped robots in static environments. This work, published in 2022 and garnering 6 citations, addresses a fundamental challenge in robotics: enabling two-legged machines to move safely and efficiently through cluttered spaces without human intervention. By optimizing the trade-off between computational speed and path accuracy, his algorithm offers a practical solution for real-world deployment. Parappagoudar’s research is particularly significant for advancing the autonomy of humanoid robots in applications such as search-and-rescue, industrial inspection, and domestic assistance, where navigating around obstacles is critical. His contributions underscore a commitment to bridging theoretical algorithms with tangible robotic performance, making him a promising voice in the field of mobile robotics.
Research Focus
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Top Papers
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