Arun Mishra

National Institute of Technology Rourkela

Papers

Total Citations

H-Index

About

Arun Mishra is a researcher in robotics and control systems, with a focus on vision-based manipulation and automation. His work addresses the critical challenge of integrating visual feedback into robotic control, particularly for precise positioning tasks. Mishra’s most cited paper, "Vision-Based Tip Position Control of a Single-Link Robot Manipulator" (2019), introduces a method for using camera data to guide the endpoint of a flexible robotic arm, enhancing accuracy without relying on traditional sensors. This contribution is foundational for applications in manufacturing, surgical robotics, and remote handling, where visual servoing is essential. While his citation count is modest—with 2 citations for this key work—his research demonstrates a practical approach to real-time control, bridging computer vision and mechanical dynamics. Mishra’s work is notable for its clarity in addressing a specific, industry-relevant problem, making it a valuable reference for students and engineers exploring low-cost, vision-driven automation. His ongoing efforts continue to refine control algorithms for lightweight, single-link systems, contributing to the broader field of intelligent robotics.