Papers
7
Total Citations
106
H-Index
6
About
Dr. Anup Nandy is a leading researcher at the intersection of human-robot interaction (HRI), assistive robotics, and intelligent gesture recognition. His pioneering work focuses on bridging the communication gap between humans and machines, with a particular emphasis on inclusive technologies. Dr. Nandy’s most influential contribution is his 2010 paper on recognizing and interpreting Indian Sign Language (ISL) gestures for humanoid robot interaction, which has garnered 45 citations and laid the groundwork for accessible HRI systems. He has further advanced the field by developing deep convolutional neural networks for motion recognition, enabling Kinect-based teleoperation of the NAO robot—a framework that allows robots to mimic human behavior with high fidelity. His research also extends to biomedical engineering, including the development of a robust microcontroller-based intelligent prosthetic limb, and to bipedal locomotion, where he modeled central pattern generators using Rayleigh oscillators. Most recently, Dr. Nandy has introduced an attention-enabled hybrid CNN for hand gesture recognition, enhancing human-robot collaboration. With a growing citation impact and a portfolio spanning gesture recognition, teleoperation, and gait generation, Dr. Nandy is shaping the future of intuitive and accessible robotic systems.
Research Focus
Key Achievements
Top Papers
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- 3Development of a Robust Microcontroller Based Intelligent Prosthetic Limb12 citations · 2012
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- 6NAO Robot Teleoperation with Human Motion Recognition9 citations · 2021
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