Saptarshi Mukharjee
Papers
1
Total Citations
8
H-Index
1
About
Saptarshi Mukharjee has carved a distinctive niche at the intersection of robotics, sensor integration, and intelligent manufacturing. His research centers on developing adaptive robotic systems that can perceive and interact with unstructured environments, with a particular focus on end-effector design and part recognition. His most cited work, "Development of Robotic End-Effector Using Sensors for Part Recognition and Grasping" (2014), demonstrates his core contribution: creating multi-sensor integrated end-effectors that enable robots to recognize and manipulate irregularly shaped objects without prior programming. This foundational paper, with 8 citations, addresses a critical challenge in modern manufacturing—the need for flexible automation that can handle variability. Mukharjee’s approach combines tactile, proximity, and force sensors to give robotic grippers a form of "intelligence," allowing them to adapt to part geometry in real time. His work is particularly significant for small and medium manufacturing enterprises seeking to adopt Industry 4.0 technologies without extensive retooling. By bridging sensor fusion with practical grasping solutions, Mukharjee has contributed to making robotic automation more accessible and versatile, paving the way for smarter, more responsive production systems.
Research Focus
Key Achievements
Top Papers
- 1