Amit Jena

National Institute of Technology Rourkela

Papers

Total Citations

H-Index

About

Amit Jena is a researcher in robotics and automation, with a primary focus on optimal trajectory planning for industrial manipulators. His work addresses the critical challenge of achieving both accuracy and smoothness in robot motion, which is essential for precision manufacturing and assembly tasks. Jena's most notable contribution is his 2016 paper on "Optimal trajectory planning of a 3R SCARA manipulator using geodesic," which has garnered 5 citations. In this work, he introduces a novel approach that leverages the mathematical concept of geodesics—the shortest path between two points on a curved surface—to plan efficient and continuous trajectories within a manipulator's work volume. By treating the robot's configuration space as a Riemannian manifold, Jena's method minimizes path length while ensuring smooth, jerk-free motion, directly addressing limitations in conventional planning algorithms. This innovative fusion of differential geometry and robotics has practical implications for improving cycle times and reducing wear in industrial robots. Jena's research contributes to the broader field of motion planning, offering a mathematically rigorous framework that can be extended to other robotic systems, and his work remains a reference point for researchers exploring geometry-based optimization in automation.