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About

Vivek Kaundal is a robotics researcher whose work focuses on practical, low-cost automation solutions for industrial and humanitarian applications. His key research areas include object recognition and sorting systems, path planning using swarm intelligence, and robotic assistance for people with disabilities. Kaundal’s most cited paper, “Design and Development of Object Recognition and Sorting Robot for Material Handling in Packaging and Logistic Industries” (2012, 8 citations), introduces a vision-based sorting robot that uses color features to identify and manipulate objects, directly addressing efficiency challenges in logistics and packaging. He has also explored meta-heuristic optimization with the Firefly Algorithm for mobile robot path planning (2020, 3 citations), demonstrating how bio-inspired algorithms can improve autonomous navigation. In “Low Cost Robotic Wheel Chair for Disabled People in Developing Countries” (2013, 3 citations), he tackles accessibility by designing an affordable robotic wheelchair, highlighting his commitment to socially impactful engineering. Additionally, his work on PLC-controlled pipeline inspection robots (2016, 3 citations) shows versatility in industrial automation. Though his citation counts are modest, Kaundal’s contributions are notable for their focus on real-world applicability, cost-effectiveness, and bridging the gap between advanced robotics and resource-constrained environments.