Sergej Stanovcic
Papers
1
Total Citations
7
H-Index
1
About
Sergej Stanovcic is a robotics researcher whose work focuses on the intersection of multimodal perception and contact-rich manipulation, with a particular emphasis on robotic assembly and disassembly. His most notable contribution is the development of the REASSEMBLE dataset, a multimodal resource designed to advance research in contact-rich robotic tasks. This dataset, introduced in his 2025 paper "Demonstrating REASSEMBLE," has already garnered 7 citations, signaling its growing importance in the field. Stanovcic's work addresses critical challenges in robotic manipulation, such as handling complex contact dynamics and integrating sensory data from vision, force, and tactile sensors. By providing a standardized benchmark, his research enables more robust and adaptable robotic systems for industrial applications, including automated assembly lines and sustainable disassembly for recycling. His contributions are particularly valuable for researchers exploring learning-based approaches to manipulation, as the dataset facilitates the training and evaluation of algorithms in realistic, high-fidelity scenarios. Stanovcic’s work stands out for its practical impact, bridging the gap between simulation and real-world deployment in robotics.
Research Focus
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Top Papers
- 1