Papers
61
Total Citations
860
H-Index
16
About
Ashish Dutta is a multidisciplinary robotics researcher whose work spans robotic manipulation, neurorehabilitation engineering, computer vision, and intelligent control systems. Best known for his pioneering contributions at the intersection of robotics and medical rehabilitation, Dutta has made significant advances in brain-machine interface (BMI)-driven recovery systems for post-stroke patients, developing EEG-EMG correlation-based brain-computer interfaces and robotic hand exoskeletons that adapt in real time to a patient's neurological state — work that has collectively garnered over 130 citations. His earlier research into compliant IPMC micro grippers for precision assembly tasks and visual-motor control of redundant manipulators (accumulating nearly 130 additional citations) established him as an authority on intelligent robotic systems. Dutta's contributions to computer vision, including his co-edited volumes on segmentation, pattern recognition, and vision applications, have become valued reference works with nearly 100 combined citations. His more recent investigations into beta-band cortical network correlates during neurorehabilitation offer meaningful neurophysiological insights that deepen our understanding of stroke recovery. Spanning both fundamental robotics theory and life-changing clinical applications, Dutta's body of work reflects a sustained commitment to engineering systems that meaningfully improve human lives.
Research Focus
Key Achievements
Top Papers
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- 2SCARA based peg-in-hole assembly using compliant IPMC micro gripper95 citations · 2012
- 3Vision Systems: Segmentation and Pattern Recognition75 citations · 2007
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- 98-DoF biped robot with compliant-links22 citations · 2014
- 10Vision Systems: Applications22 citations · 2007