Sanchit Kedia

Narsee Monjee Institute of Management Studies

Papers

Total Citations

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About

Sanchit Kedia is a robotics researcher focused on the automation of industrial manufacturing, particularly in the domain of robotic welding. His work sits at the intersection of computer vision, manipulator design, and simulation, addressing the transition from Industry 3.0 to Industry 4.0. Kedia’s major contributions include the development of integrated vision systems for welding robots, enabling real-time feedback and adaptive control. His most cited paper, "Review of Implementation of Vision Systems in Robotic Welding" (2021, 6 citations), provides a comprehensive analysis of how visual sensing technologies have revolutionized automated welding processes. In a subsequent work, "Design of Robotic Manipulator for Welding using ROS and Gazebo" (2022, 4 citations), Kedia demonstrated a practical implementation by modeling a six-axis manipulator coupled with a physical vision system, bridging the gap between simulation and real-world application. By leveraging ROS and Gazebo, his research offers a scalable framework for testing and deploying automated welding systems. Kedia’s work is notable for its emphasis on accessible, simulation-driven design, making advanced robotics more attainable for small and medium enterprises. His contributions continue to inform the development of smarter, safer, and more efficient manufacturing environments.