Gaurav Mukherjee

University of Washington, META Health

Papers

3

Total Citations

26

H-Index

3

About

Gaurav Mukherjee is a robotics researcher specializing in physical human-robot interaction (pHRI), with a particular focus on wearable robotic systems and hand exoskeleton design. His work addresses one of the most persistent challenges in rehabilitation and assistive robotics: creating comfortable, effective interfaces between robotic devices and the human body. Mukherjee's most recognized contribution, "Designing Variable Stiffness Profiles to Optimize the Physical Human Robot Interface of Hand Exoskeletons" (2018, 16 citations), introduced innovative approaches to managing pressure distribution on the dorsal hand surface — a critical factor in user comfort and device effectiveness. Building on this foundation, his subsequent research has pushed the field further, developing scalable simulation-based design methodologies that allow researchers to systematically engineer better human-robot coupling interfaces without relying solely on costly physical prototyping. His 2023 work on interface power estimation adds a rigorous analytical dimension to the field, quantifying energy losses at attachment points to improve overall system efficiency. Collectively, Mukherjee's research bridges biomechanics, computational modeling, and robotics engineering, offering practical tools for designing next-generation exoskeletons that are both mechanically efficient and human-centered — making wearable robots more viable for real-world clinical and assistive applications.

Research Focus

Key Achievements

3
H-Index
3
Papers
26
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Designing Variable Stiffness Profiles to Optimize the Physical Human Robot Interface of Hand Exoskeletons
16 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: University of Washington, META Health

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago