Vivek Deshpande

Papers

Total Citations

H-Index

About

Vivek Deshpande is a robotics researcher whose work focuses on the kinematic analysis and intelligent control of robotic manipulators. His key research areas include robot kinematics, trajectory generation, and the application of soft computing techniques such as Adaptive Neuro-Fuzzy Inference Systems (ANFIS) to robotic systems. Deshpande’s most cited work, “End-effector Position Analysis of SCORBOT-ER V plus Robot” (2011, 9 citations), provides a foundational kinematic analysis of a 5-degree-of-freedom vertical articulated robot, enabling precise end-effector positioning for manipulation tasks. This work is essential for researchers and engineers working with educational and industrial robotic arms. In a subsequent study (2013, 3 citations), Deshpande pioneered the use of ANFIS to generate joint angle trajectories, reducing reliance on complex mathematical models by learning from training data. This approach demonstrates a practical, data-driven method for robot control. While his citation counts are modest, Deshpande’s contributions are notable for bridging classical robotics kinematics with modern intelligent systems, offering accessible solutions for robotic manipulation and control that are valuable for students and practitioners in the field.