Papers
7
Total Citations
35
H-Index
4
About
Jayanta Mukherjee’s research lies at the intersection of tele-robotics, remote perception, and autonomous navigation, with a strong focus on enhancing operator awareness in constrained environments. His most influential work, a prototype work-cell for validating ITER remote handling control standards (9 citations), underpins his contributions to nuclear robotics. Mukherjee pioneered AI-driven tele-operation support through voxel-based workspace modeling and automated 3D path determination (8 citations), addressing bandwidth limitations in master-slave systems. He also developed a novel floor segmentation algorithm for mobile robot navigation (8 citations), tackling real-time obstacle avoidance—a core challenge in autonomous robotics. His innovative “synthesized transduction” technique (4 citations) enables proximity sensing before physical contact in tele-operated systems, while his virtual transducer method (2 citations) augments remote perception by inducing a proximity feel. Mukherjee’s “Phantom Sensory Framework” (2 citations) further enriches operator perception by rendering multiple real-time effects. Though his citation counts are modest, his work demonstrates sustained, creative contributions to improving human-robot interaction in hazardous settings, particularly for nuclear and industrial applications. His research is especially valuable for students exploring tele-operation, sensor fusion, and intelligent robotic control.
Research Focus
Key Achievements
Top Papers
- 1
- 2A novel floor segmentation algorithm for mobile robot navigation8 citations · 2015
- 3
- 4Synthesized transduction for proximity sensing in tele-operated systems4 citations · 2012
- 5Virtual transducer for augmented perception2 citations · 2012
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- 7