Georgios Kalitsios
Papers
1
Total Citations
7
H-Index
1
About
Georgios Kalitsios is a researcher at the forefront of sustainable manufacturing and human-robot collaboration, with a primary focus on intelligent disassembly systems for e-waste recycling. His most cited work introduces a pioneering vision-enhanced framework for human-robot disassembly factory cells, addressing the urgent global crisis of waste electrical and electronic equipment. Kalitsios’s key contribution is the development of a system-agnostic application that seamlessly integrates computer vision with robotic manipulation, enabling hybrid human-robot teams to efficiently dismantle complex electronic products. Notably, his research includes the creation of a novel screw dataset, a critical resource for training AI models to recognize and handle fasteners in unstructured environments—a fundamental challenge in automated disassembly. With 7 citations on his leading paper, Kalitsios is establishing a reputation for bridging the gap between theoretical robotics and practical, scalable e-waste solutions. His work not only advances the field of industrial robotics but also offers tangible pathways toward a circular economy, making him a promising voice in sustainable engineering and intelligent automation.
Research Focus
Key Achievements
Top Papers
- 1