Papers
2
Total Citations
41
H-Index
2
About
Harsh Maithani is a researcher at the forefront of physical human-robot interaction (pHRI), with a focus on assistive robotics for industrial applications. His work centers on developing intelligent robotic systems that can safely and effectively collaborate with human workers, particularly in physically demanding environments like the meat processing industry. Maithani’s major contributions include the design of assistive strategies to mitigate musculoskeletal disorders, as demonstrated in his highly cited 2021 paper "Exoscarne" (25 citations), which presents a proof-of-concept pHRI-based system for industrial meat cutting—a technology that can be adapted for exoskeletons. He has also advanced the field of cooperative robotics through his 2019 work on predicting human intent (16 citations), where he proposed a novel impedance and admittance control methodology that allows robots to act as passive followers, accurately interpreting a human leader’s desired motion and force. This research is pivotal for creating seamless, intuitive human-robot teams. With a clear focus on translating cutting-edge robotics into practical, ergonomic solutions for heavy industry, Maithani’s work is shaping the future of safe and efficient collaborative workspaces.
Research Focus
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Top Papers
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