Abhirup Sarkar
Papers
1
Total Citations
4
H-Index
1
About
Abhirup Sarkar is a researcher at the intersection of assistive robotics and neural engineering, with a primary focus on brain-computer interfaces (BCIs) for restoring motor function. His most-cited work, "Robotic link position control using brain computer interface" (2016, 4 citations), demonstrates a pioneering approach to translating neural signals into precise robotic movements. Sarkar’s core contribution lies in developing thought-controlled robotic systems designed to bypass damaged neural pathways, offering a lifeline to individuals with spinal cord injuries or neurodegenerative disorders who have lost voluntary limb control. By enabling direct brain-to-machine communication, his research aims to enhance autonomy and quality of life for those with severe motor impairments. Though his citation count reflects a niche but growing field, Sarkar’s work represents a critical step toward practical, non-invasive BCI applications—blending signal processing, control theory, and robotics. His efforts underscore a commitment to translating complex neurotechnology into accessible assistive devices, positioning him as a contributor to the future of human-machine interaction and rehabilitation engineering.
Research Focus
Key Achievements
Top Papers
- 1Robotic link position control using brain computer interface4 citations · 2016