Papers
2
Total Citations
7
H-Index
2
About
Arnau Boix-Granell is a robotics researcher specializing in the intersection of virtual reality, robot learning, and garment manipulation. His work addresses one of the most challenging problems in robotics: teaching bi-manual robots to handle deformable objects like clothing. Boix-Granell’s key contribution is the development of a novel Virtual Reality framework that enables fast, automated creation of high-quality training datasets for cloth manipulation tasks. This approach allows researchers to generate demonstrations with automatic semantic labelling, bypassing the laborious and error-prone manual annotation traditionally required. His 2023 paper on this framework has already garnered 4 citations, while his foundational 2022 work on a garment manipulation dataset for robot learning by demonstration has received 3 citations. These contributions are particularly significant given the scarcity of available garment-folding datasets in the robotics community. By streamlining the data collection process, Boix-Granell’s research accelerates progress in learning from demonstration, bringing us closer to robots that can competently perform complex domestic tasks like folding laundry.
Research Focus
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Top Papers
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