Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Robotics - Robotics and Automation is now available. According to news reporting from Ljubljana, Sloven ia, by NewsRx journalists, research stated, “Object grasping is a fundamental ch allenge in robotics and computer vision, critical for advancing robotic manipula tion capabilities. Deformable objects, like fabrics and cloths, pose additional challenges due to their non-rigid nature.” Financial support for this research came from ARIS. The news correspondents obtained a quote from the research from the University o f Ljubljana, “In this work, we introduce CeDiRNet-3DoF, a deep-learning model fo r grasp point detection, with a particular focus on cloth objects. CeDiRNet-3DoF employs center direction regression alongside a localization network, attaining first place in the perception task of ICRA 2023’s Cloth Manipulation Challenge. Recognizing the lack of standardized benchmarks in the literature that hinder e ffective method comparison, we present the ViCoS Towel Dataset. This extensive b enchmark dataset comprises 8,000 real and 12,000 synthetic images, serving as a robust resource for training and evaluating contemporary data-driven deep-learni ng approaches. Extensive evaluation revealed CeDiRNet-3DoF’s robustness in real- world performance, outperforming state-of-the-art methods, including the latest transformer-based models.”
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