Chitranjan Kumar

Papers

Total Citations

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About

Chitranjan Kumar is a researcher at the intersection of robotics, machine vision, and intelligent automation. His most-cited work focuses on developing practical, vision-guided robotic systems, exemplified by his 2020 paper on machine vision-based color recognition using a robotic arm controlled by LabVIEW. In this contribution, Kumar demonstrated how a webcam integrated with a robotic arm can detect and respond to specific colors through real-time image processing, enabling more adaptive and autonomous manipulation. This foundational work in sensor-driven robotics has garnered early citations, reflecting its relevance to researchers and engineers building low-cost, vision-enabled robotic platforms. Kumar’s research addresses key challenges in human-robot interaction and industrial automation, particularly in environments where visual feedback is critical for precise object handling. By combining accessible hardware with robust software frameworks, his contributions offer a scalable approach to intelligent robotic control. As the field of machine vision continues to expand, Kumar’s work provides a practical blueprint for integrating color recognition into robotic systems, making him a notable emerging voice in applied robotics and automation engineering.