Vishal Fegade

Narsee Monjee Institute of Management Studies

Papers

Total Citations

H-Index

About

Vishal Fegade is a leading researcher in robotics and advanced manufacturing, with a focus on developing safer, more adaptable robotic systems for human-centric environments. His work centers on the optimization of variable stiffness joints in robot manipulators—a critical innovation for reducing the risk of injury during human-robot collaboration. In his highly cited 2022 paper, Fegade introduced a novel hybrid optimization approach combining the Non-dominated Sorting Whale Optimization Algorithm (NSWOA) with the MARCOS decision-making method, achieving a 21-citation impact within two years. This work addresses the fundamental challenge of balancing robot rigidity for precision tasks with compliance for safety, a key concern as robots move from factory floors into homes and service roles. Beyond this flagship study, Fegade’s research portfolio spans multi-criteria decision-making, sustainable manufacturing, and advanced material processing, with several papers appearing in top-tier journals like *Materials Today: Proceedings* and *International Journal on Interactive Design and Manufacturing*. His contributions are shaping the next generation of collaborative robots, making him a notable voice in the intersection of mechanical design and intelligent control.