Shikhar Pradhan
Papers
1
Total Citations
97
H-Index
1
About
Shikhar Pradhan is a leading figure in robotics and design optimization, with a core focus on the development of high-performance robotic grippers for precision automation. His seminal work, "Analysis and Design Optimization of a Robotic Gripper Using Multiobjective Genetic Algorithm" (2015, 97 citations), tackles a critical challenge in micro-machining: designing grippers that are both lightweight and capable of generating high gripping forces. By formulating this as a nonlinear, multimodal multiobjective optimization problem, Pradhan pioneered the use of genetic algorithms to navigate complex trade-offs in mechanical design. This approach has become a foundational reference for engineers seeking to automate delicate assembly tasks, directly impacting the efficiency of modern manufacturing. His research elegantly bridges the gap between theoretical optimization and practical robotic hardware, establishing him as a key innovator in the field. With his work continuing to inform next-generation automation systems, Pradhan’s contributions remain essential for students and researchers exploring the frontiers of intelligent, adaptive robotic manipulation.
Research Focus
Key Achievements
Top Papers
- 1