April 26, 2024, 4:45 a.m. | Daniel Schober, Ronja G\"uldenring, James Love, Lazaros Nalpantidis

cs.CV updates on arXiv.org arxiv.org

arXiv:2404.16529v1 Announce Type: cross
Abstract: Laboratory processes involving small volumes of solutions and active ingredients are often performed manually due to challenges in automation, such as high initial costs, semi-structured environments and protocol variability. In this work, we develop a flexible and cost-effective approach to address this gap by introducing a vision-based system for liquid volume estimation and a simulation-driven pouring method particularly designed for containers with small openings. We evaluate both components individually, followed by an applied real-world integration …

arxiv containers cs.cv cs.ro laboratory manipulation robot robot manipulation transparent type vision

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