Yusuf Parvez

Indira Gandhi Delhi Technical University for Women

Papers

Total Citations

H-Index

About

Yusuf Parvez is a robotics researcher whose work centers on the intersection of artificial intelligence, optimization algorithms, and robotic manipulation. His most notable contribution is the development of a novel inverse kinematics solution for 3-R robots, combining artificial neural networks with modified particle swarm optimization to achieve superior accuracy and computational efficiency. This work, published in 2019 and garnering 16 citations, addresses a fundamental challenge in robotics—mapping desired end-effector positions to joint configurations—and has been recognized as a significant advancement in the field. Parvez has also explored wireless power transfer systems for robotic arms, specifically applied to the SCORBOT ER-4U platform, demonstrating his interest in practical, real-world robotic applications. His research bridges theoretical optimization with applied robotics, offering solutions that enhance both the precision and autonomy of robotic systems. With a growing citation record and a focus on computationally efficient methods, Parvez continues to contribute to the development of smarter, more adaptable robots for industrial and research settings.