Saurabh Chaudhary
Papers
4
Total Citations
9
H-Index
2
About
Saurabh Chaudhary is a robotics researcher whose work focuses on the control and coordination of multi-robot and space robotic systems. His primary contributions lie in developing advanced frameworks for multi-robot segregation—enabling groups of robots to autonomously separate into distinct teams for collaborative tasks. He has pioneered the use of Model Predictive Control (MPC) combined with asynchronous path smoothing to ensure collision-free segregation even under motion disturbances, a challenge critical for real-world deployment. Chaudhary has also addressed the demanding domain of space robotics, proposing a data-driven, event-triggered predictive controller for multi-arm space robots operating in the post-impact phase, effectively managing uncertainties from parameter variation and joint friction. His work on finite-time convergence guarantees for segregation further advances the theoretical foundations of multi-robot systems. With his most-cited paper accumulating 5 citations, Chaudhary’s research is establishing a footprint in both terrestrial multi-robot coordination and resilient space-based manipulation. He has also contributed to open-source tools, enhancing the Recursive Dynamics Simulator (ReDySim) with an improved graphical user interface for multibody system analysis.
Research Focus
Key Achievements
Top Papers
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