Dan Dumitriu

Papers

Total Citations

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About

Dan Dumitriu is a robotics and automation researcher whose work bridges intelligent waste management and advanced robotic manipulation. His primary research areas include computer vision for waste sorting, autonomous mobile robotics, and complex kinematic systems. Dumitriu’s most impactful contribution is his 2019 study on deep learning computer vision for municipal waste sorting and size determination, which has garnered 10 citations and demonstrates a practical application of AI in environmental sustainability. That same year, he advanced the field of autonomous robotics with his work on controlling a mobile waste collection robot (6 citations), showcasing integrated navigation and manipulation for real-world cleanup tasks. In 2020, Dumitriu tackled high-precision robotics with a study on a double hexapod system, where two serially connected hexapods maintain identical configurations to achieve complex, robust motion in an extended workspace (2 citations). This work highlights his expertise in hybrid kinematic structures and control strategies. Together, his research reflects a commitment to solving pressing environmental challenges through cutting-edge robotics, from AI-driven sorting to autonomous collection and sophisticated multi-robot coordination.