Papers
2
Total Citations
9
H-Index
2
About
Vishu Gupta is a leading researcher at the intersection of biomechatronics and human-robot interaction, with a core focus on developing intelligent control systems for assistive and autonomous robotic platforms. His primary research areas include human gait analysis, sEMG signal processing, and machine learning for rehabilitation robotics. Gupta’s major contribution lies in advancing the practical application of robotic assistive devices—such as exoskeletons and prostheses—by enabling them to recognize and respond to distinct human locomotion patterns. His most-cited work, "Implementation of machine learning algorithms for automated human gait activity recognition using sEMG signals" (2023, 5 citations), provides a comparative assessment of computational classifiers for decoding muscle signals, directly enhancing the control of devices designed to restore mobility for injured or disabled individuals. In another influential study, "Probabilistic Modeling of Human Locomotion for Biped Robot Trajectory Generation" (2021, 4 citations), Gupta tackles the challenge of enabling bipedal robots to navigate unstructured environments—a critical limitation of wheeled robots. By modeling human walking patterns probabilistically, his work paves the way for more adaptive and stable bipedal locomotion. Through these contributions, Gupta is shaping the future of assistive robotics and autonomous mobility.
Research Focus
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Top Papers
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