Hemanth Manjunatha
Papers
7
Total Citations
69
H-Index
4
About
Hemanth Manjunatha is a pioneering researcher at the intersection of robotics, human-machine interaction, and physiological sensing. His work primarily focuses on physical human-robot interaction (pHRI), swarm robotics, and rehabilitation technology, where he leverages physiological signals like electromyography (EMG) and electroencephalography (EEG) to create adaptive, intelligent robotic systems. Manjunatha’s most impactful contribution is his 2021 study on upper limb home-based robotic rehabilitation during the COVID-19 outbreak (26 citations), which addressed the urgent need for remote therapy solutions for post-intensive care patients. He has also advanced swarm robotics by developing reinforcement learning tactics for complex adversarial environments (14 citations) and analyzing human physiological states to improve tactical decision-making in human-swarm teams (11 citations). His innovative use of transfer learning to classify motor difficulty from EMG signals (7 citations) and deep learning models to extract interpretable EEG features for assessing co-manipulation quality (3 citations) demonstrates his commitment to making AI-driven robotics more transparent and effective. With over 69 total citations across his key works, Manjunatha is shaping the future of collaborative robotics, from rehabilitation to autonomous swarms.
Research Focus
Key Achievements
Top Papers
- 1Upper Limb Home-Based Robotic Rehabilitation During COVID-19 Outbreak26 citations · 2021
- 2Learning Robot Swarm Tactics over Complex Adversarial Environments14 citations · 2021
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