Biswajeet Sahu

National Institute of Technology Rourkela

Papers

Total Citations

H-Index

About

Biswajeet Sahu’s research focuses on the intersection of robotics, computer vision, and control systems, with a particular emphasis on enhancing the precision and autonomy of robotic manipulators. His most-cited work, "Vision-Based Tip Position Control of a Single-Link Robot Manipulator" (2019), addresses a fundamental challenge in robotics: achieving accurate end-effector positioning without relying solely on traditional joint encoders. By integrating visual feedback into the control loop, Sahu demonstrates how camera-based systems can compensate for mechanical uncertainties and dynamic disturbances, enabling more robust and adaptive manipulation. This contribution is especially relevant for applications in manufacturing, surgical robotics, and autonomous systems where precision is critical. Though early in his career, his work has already garnered attention within the robotics community, with the paper accumulating 2 citations—a promising start for a young researcher. Sahu’s approach bridges theoretical control theory with practical vision-based solutions, offering a scalable framework for future research in sensor-driven robotic control. His ongoing work continues to explore how visual perception can enhance robotic dexterity, positioning him as an emerging voice in the field of intelligent automation.