Papers
34
Total Citations
531
H-Index
15
About
Anany Dwivedi is a robotics and human-machine interface researcher whose work sits at the intersection of wearable sensing, myoelectric control, and assistive robotics. His research spans three closely intertwined areas: electromyography (EMG)-based decoding of human intention, soft robotic sensing, and rehabilitation and teleoperation systems. Among his most influential contributions is the design and validation of a soft magnetic 3D force sensor (2018, 57 citations), which addresses the growing need for tactile feedback in human-robot collaboration. Equally impactful is his work on EMG-based hand motion decoding, where he has pioneered learning frameworks—including the application of Vision Transformers—to classify dexterous manipulation with greater robustness and generalizability across multiple high-cited studies. Dwivedi has also advanced wearable assistive technology through his hybrid exoskeleton glove featuring variable stiffness joints and a telescopic thumb (2020, 40 citations), and developed forcemyography armbands as lightweight alternatives to conventional interfaces. His systematic reviews and comparative analyses of machine learning techniques and sensor fusion methods have further established him as a thoughtful synthesizer of this rapidly evolving field. Collectively, his publications have garnered over 300 citations, reflecting substantial influence on prosthetics, rehabilitation engineering, and intuitive human-robot interaction research.
Research Focus
Key Achievements
Top Papers
- 1Design, Modeling, and Validation of a Soft Magnetic 3-D Force Sensor57 citations · 2018
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