Papers
2
Total Citations
25
H-Index
2
About
Milan Gautam is a robotics researcher focused on bringing automation to labor-intensive industries, with key contributions in construction robotics and agricultural automation. His work centers on human-robot collaboration and computer vision for real-world applications. His most-cited paper, "Collaborative Robotics in Construction: A Test Case on Screwing Gypsum Boards on Ceiling" (2020, 22 citations), demonstrates the feasibility of using collaborative robots (cobots) for overhead construction tasks—a challenging domain where automation is rarely applied. This study highlights practical solutions for integrating cobots into construction workflows, addressing safety and efficiency. In agricultural robotics, Gautam's recent work, "Harvesting Tomatoes with a Robot: an evaluation of Computer-Vision capabilities" (2023, 3 citations), compares Intel RealSense D435 and Zivid Two cameras for tomato detection using YOLO models in both lab and greenhouse settings. This research advances vision-guided harvesting systems. By bridging the gap between robotic capabilities and industry needs, Gautam's work provides foundational insights for deploying robots in unstructured environments, making him a notable contributor to applied robotics.
Research Focus
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Top Papers
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