Praveen D Jadhav
Papers
3
Total Citations
17
H-Index
3
About
Praveen D. Jadhav is a researcher specializing in robotics and intelligent automation, with a core focus on trajectory planning and inverse kinematics for industrial manipulators. His work addresses critical challenges in manufacturing automation, particularly for assembly and pick-and-place operations, by integrating advanced computational methods. Jadhav’s most influential paper, "Minimum Jerk Trajectory Planning of PUMA560 with Intelligent Computation using ANN" (2021), has garnered 10 citations, demonstrating its impact on optimizing robot motion smoothness and efficiency through artificial neural networks. He further advanced the field by applying machine learning to solve inverse kinematics for the Pioneer 2 manipulator (4 citations) and the SCARA robot (3 citations), incorporating cubic spline interpolation and obstacle avoidance to enhance real-world applicability. Notably, his research on SCARA introduced a novel algorithm combining Cubic-B splines with machine learning for minimum jerk trajectories, directly improving precision in automated assembly lines. With a growing citation record, Jadhav’s contributions bridge theoretical robotics and practical industry needs, positioning him as a key figure in the evolution of intelligent, adaptive robotic systems.
Research Focus
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Top Papers
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