G. Arunkumar

Indian Institute of Technology Bombay, Imperial College London

Papers

Total Citations

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About

G. Arunkumar is a robotics researcher specializing in autonomous navigation and visual homing for mobile robots, with a particular focus on GPS-denied indoor environments. His work addresses the fundamental challenge of enabling robots to return to a reference position using only visual information, a critical capability for applications such as pick-and-place operations, docking, and navigation. Arunkumar’s major contributions include developing a probabilistic approach for visual homing that accounts for dynamic obstacles, allowing robots to navigate safely back to a home position while avoiding moving objects in their path. His 2016 paper on this topic has garnered 13 citations, establishing a foundation for robust visual homing strategies. He further advanced the field with a bearing-only visual homing method using an observer-based approach, published in 2017, which has received 7 citations. This work addresses the challenge of efficient information extraction from images and motion execution without relying on distance measurements. Arunkumar’s research is particularly notable for its practical relevance to real-world robotic tasks in indoor settings where GPS is unavailable, making his contributions valuable for both academic researchers and engineers developing autonomous systems.