Sudipto Mukherjee

Indian Institute of Technology Delhi

Papers

19

Total Citations

156

H-Index

6

About

Sudipto Mukherjee is a robotics and control systems researcher whose work spans snake robotics, robotic manipulation, exoskeleton systems, and advanced control theory. He has made notable contributions to the field of bio-inspired locomotion, most prominently through his sliding mode control framework for planar snake robots, which addresses velocity tracking and head-angle control under conditions of uncertainty — a paper that has garnered 49 citations and remains his most influential work. His research on multi-fingered robotic hands has been equally prolific, encompassing kinematic analysis, grasp analysis, tendon actuation, and actuating force determination, collectively advancing the design of dexterous robotic grippers that closely emulate human hand mechanics. Mukherjee has also contributed meaningfully to tele-operation systems, developing upper limb exoskeletons for controlling industrial robots such as the KUKA KR5, integrating haptic feedback and immersive environments to enhance remote operational precision. His work on delta robots further demonstrates his breadth, combining parallel architecture design with real-time object catching capabilities. With over 125 cumulative citations, Mukherjee's research consistently bridges theoretical rigor with practical robotic application, making his portfolio an essential reference for students and researchers in intelligent robotics and control systems.

Research Focus

Key Achievements

6
H-Index
19
Papers
156
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Sliding Mode Control of Planar Snake Robot With Uncertainty Using Virtual Holonomic Constraints
49 citations · 2017
📈 Most Prolific Year: 2021 (6 Papers)
🤝 Key Collaborators: 14
🏛 Institutions: Indian Institute of Technology Delhi

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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