Madhav Kuber

Defence Institute of Advanced Technology, Defence Research and Development Organisation

Papers

Total Citations

H-Index

About

Madhav Kuber is a robotics researcher whose work bridges robust control theory and swarm intelligence. His most influential contribution, the 2006 paper “Robust Control of Flexible Joint Robot Manipulator” (29 citations), introduced a novel Uncertainty and Disturbance Estimator (UDE) to treat joint flexibility as a disturbance in rigid-link models. This feedback linearization approach significantly advanced the robust control of flexible manipulators, offering a practical solution to a persistent challenge in robot dynamics. Kuber’s work in this area has been foundational for researchers tackling real-world robotic systems where joint compliance cannot be ignored. More recently, Kuber has explored the emerging field of swarm robotics. In his 2017 study “Received signal strength based dispersion of swarm of autonomous ground vehicles,” he developed an RSSI-based dispersion algorithm for autonomous ground vehicle swarms, demonstrating how signal strength can guide decentralized group behavior. While this work has garnered fewer citations (3), it reflects Kuber’s forward-looking interest in scalable, communication-driven swarm coordination. His research trajectory—from robust control of individual manipulators to distributed swarm algorithms—showcases a versatile engineering mind, with his UDE-based control remaining his most cited and impactful contribution to the field.