Suvikram Pradhan
Papers
1
Total Citations
2
H-Index
1
About
Suvikram Pradhan is a robotics researcher whose work centers on the mathematical foundations of robotic motion, particularly trajectory planning and kinematic modeling. His most cited paper, "Geometrical significance of trajectory planning through polynomial equation – Customized RPPPRR model robot" (2023), introduces a novel approach to designing smooth, efficient paths for custom-configured robotic arms. By employing polynomial equations to define motion trajectories, Pradhan addresses the critical challenge of optimizing robot movement for precision and energy efficiency—a key concern in industrial automation and advanced manufacturing. Though his citation count is still growing, this work demonstrates his ability to bridge abstract geometric theory with practical robotic design. Pradhan’s research is especially relevant for students and engineers working on non-standard robot architectures, offering a systematic method for tailoring trajectory planning to specific mechanical constraints. His contributions highlight the importance of mathematical rigor in solving real-world robotics problems, positioning him as an emerging voice in the field of kinematic optimization and custom robot control.
Research Focus
Key Achievements
Top Papers
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