Nepal Adhikary
Papers
1
Total Citations
3
H-Index
1
About
Nepal Adhikary is a robotics researcher whose work centers on intelligent trajectory planning and kinematic control for industrial manipulators. His most-cited paper, “Trajectory Planning & Computation of Inverse Kinematics of SCARA using Machine Learning” (2021, 3 citations), introduces a novel algorithm that combines cubic B-spline interpolation with machine learning to achieve smooth, minimum-jerk motion for SCARA robots in pick-and-place and assembly tasks. By replacing traditional analytical inverse kinematics with data-driven models, Adhikary’s approach enables real-time adaptability and accounts for static obstacles, improving both efficiency and safety in automated environments. Though early in his citation trajectory, this work demonstrates a practical fusion of robotics and AI, offering a scalable solution for industrial automation. Adhikary’s research is particularly relevant for students and engineers seeking to bridge classical robotics theory with modern machine learning techniques, making him a promising voice in the field of intelligent robotic control.
Research Focus
Key Achievements
Top Papers
- 1