Abstract
2024 OCT 03 (NewsRx)-By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators publish new report on Ro botics. According to news reporting from London, United Kingdom, by NewsRx journ alists, research stated, "Manipulation of deformable objects is a challenging do main in robotics. Although it has been gaining attention in recent years, long-h orizon deformable object manipulation remains largely unexplored." Financial supporters for this research include UKRI under Grant, RAEng Chair in Emerging Technologies. The news correspondents obtained a quote from the research from Imperial College London, "In this letter, we propose a benchmark for the bi-manual Shoe Lacing ( SL) task for evaluating and comparing long-horizon deformable object manipulatio n algorithms. SL is a difficult sensorimotor task in everyday life as well as th e shoe manufacturing sector. Due to the complexity of the shoe structure, SL nat urally requires sophisticated long-term planning. We provide a rigorous definiti on of the task and protocols to ensure the repeatability of SL experiments. We p resent 6 benchmark metrics for quantitatively measuring the ecological validity of approaches towards bi-manual SL. We further provide an open-source simulation environment for training and testing SL algorithms, as well as details of the c onstruction and usage of the environment."
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