Saahil Chand
Papers
6
Total Citations
108
H-Index
5
About
Saahil Chand is a leading researcher in the emerging field of Human-Centric Human-Robot Collaboration (HHRC), a cornerstone of the Industry 5.0 paradigm. His work fundamentally redefines how humans and machines interact by placing operator well-being at the core of manufacturing systems. Chand’s primary contributions lie in developing novel, real-time methods for assessing and optimizing human physical fatigue. He pioneered the use of s-EMG technology and vision-based systems to create "fatigue-sensitive" digital twins, enabling dynamic task allocation that minimizes strain. His research has produced a mathematical model for the ergonomic design of collaborative workstations, supported by a unique database of real fatigue and postural risk scores. With his most-cited paper, "Dynamic muscle fatigue assessment using s-EMG technology," garnering 33 citations, Chand’s work is rapidly shaping the future of safe and efficient human-robot teams. He has also extended his human-centric principles to novel domains, including UAV-UGV collaboration, demonstrating a broad vision for a future where technology adapts to the worker, not the other way around.
Research Focus
Key Achievements
Top Papers
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- 6Human-Centric UAV-UGV Collaboration5 citations · 2023