A.V. Nandedkar
Papers
1
Total Citations
12
H-Index
1
About
A.V. Nandedkar’s research focuses on the intersection of robotics, control systems, and optimization, with a particular emphasis on enhancing the precision and performance of robotic manipulators. One of their key contributions is the development of a Particle Swarm Optimization (PSO)-tuned PID controller for a DC servomotor in a multi-fingered robot hand, a study that has garnered 12 citations. This work demonstrates how modern optimization algorithms can significantly improve the dynamic response and stability of robotic systems compared to conventional controllers. Nandedkar’s modeling and simulation approach provides a practical framework for designing more dexterous and reliable robot hands, which is critical for applications in automation and prosthetics. Their research not only advances the theoretical understanding of controller design but also offers tangible solutions for real-world robotic applications. With a growing citation record, Nandedkar’s work is a valuable resource for students and researchers interested in the synergy between evolutionary computation and robotic control, highlighting the potential of intelligent algorithms to push the boundaries of mechatronic system performance.
Research Focus
Key Achievements
Top Papers
- 1