April 9, 2024, 4:48 a.m. | Esteve Valls Mascaro, Daniel Sliwowski, Dongheui Lee

cs.CV updates on arXiv.org arxiv.org

arXiv:2309.16524v2 Announce Type: replace
Abstract: Robots are becoming increasingly integrated into our lives, assisting us in various tasks. To ensure effective collaboration between humans and robots, it is essential that they understand our intentions and anticipate our actions. In this paper, we propose a Human-Object Interaction (HOI) anticipation framework for collaborative robots. We propose an efficient and robust transformer-based model to detect and anticipate HOIs from videos. This enhanced anticipation empowers robots to proactively assist humans, resulting in more efficient …

arxiv collaborative collaborative robots cs.cv cs.ro human object reading robots type

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