Jajneswar Nanda
Papers
1
Total Citations
4
H-Index
1
About
Dr. Jajneswar Nanda is a robotics researcher whose work focuses on the critical challenge of inverse kinematics (IK) in redundant manipulators. His major contribution lies in developing intelligent, data-driven solutions for this complex problem, particularly through the application of Adaptive Neuro-Fuzzy Inference Systems (ANFIS). In his most cited work, a 2014 comparative study, Dr. Nanda proposed a novel method to predict IK solutions for manipulators with varying degrees of redundancy—specifically 2-DOF, 3-DOF, and 5-DOF systems. This research directly addresses the fundamental difficulty of determining the joint variables needed to achieve a desired end-effector position, a problem that is essential for precise robotic control. While his work has garnered foundational citations, it represents a significant step toward making robotic manipulation more efficient and adaptable. Dr. Nanda’s contributions are particularly valuable for students and researchers exploring the intersection of soft computing and robotics, offering a clear pathway for applying intelligent systems to solve real-world kinematic challenges.
Research Focus
Key Achievements
Top Papers
- 1