Soumabha Bhowmick

Indian Institute of Technology Kharagpur

Papers

Total Citations

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About

Soumabha Bhowmick focuses on advancing mobile robot navigation, with key research areas including floor segmentation, obstacle detection, and real-time path planning. His most cited work, “A novel floor segmentation algorithm for mobile robot navigation” (2015, 8 citations), tackles the critical challenge of detecting traversable floor areas to enable effective obstacle avoidance—a computationally intensive task essential for autonomous robot movement. Building on this, his paper “Fast Path planning on planar occupancy grid exploiting geometry of obstacles” (2017, 2 citations) introduces an efficient algorithm that leverages obstacle geometry to compute optimal paths on two-dimensional occupancy grids, reducing computational overhead for real-time applications. Though his citation counts reflect a developing career, Bhowmick’s contributions address foundational bottlenecks in robotics: balancing accuracy and speed in dynamic environments. His work is particularly notable for integrating geometric reasoning into occupancy grid frameworks, offering practical solutions for social robots navigating cluttered spaces. For students and researchers, Bhowmick’s research provides a clear entry point into the intersection of computer vision and motion planning, demonstrating how algorithmic efficiency can bridge the gap between theoretical robotics and real-world deployment.