Abhishek Pant

Indian Institute of Technology Kharagpur

Papers

Total Citations

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About

Abhishek Pant is a researcher in mobile robotics and computer vision, with a primary focus on autonomous navigation and real-time obstacle detection. His most cited work, "A novel floor segmentation algorithm for mobile robot navigation" (2015), addresses a critical challenge in path planning: computationally efficient obstacle avoidance. By developing a robust method to segment floor areas from complex environments, Pant’s algorithm enables robots to distinguish traversable space from obstacles with greater accuracy, reducing computational load during navigation. This contribution has garnered 8 citations, reflecting its relevance in the field. Pant’s research emphasizes practical, real-time solutions for mobile robot autonomy, bridging the gap between algorithmic complexity and deployable efficiency. His work is particularly valuable for students and engineers seeking to understand the trade-offs between segmentation precision and processing speed in dynamic settings. Through his focus on floor detection, Pant has helped advance the foundational perception systems that underpin safe, autonomous robot movement in unstructured environments.