An improved approach of task-parameterized learning from demonstrations for cobots in dynamic manufacturing
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Intelligent Manufacturing"
DOI: 10.1007/s10845-021-01743-w
Abstract: Task-Parameterized Learning from Demonstrations (TP-LfD) is an intelligent intuitive approach to support collaborative robots (cobots) for various industrial applications. Using TP-LfD, human’s demonstrated paths can be learnt by a cobot for reproducing new paths for… read more here.
Keywords: parameterized learning; manufacturing; approach; task parameterized ... See more keywords
Learning Task-Parameterized Skills from Few Demonstrations
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DOI: 10.1109/lra.2022.3150013
Abstract: Moving away from repetitive tasks, robots nowadays demand versatile skills that adapt to different situations. Task-parameterized learning improves the generalization of motion policies by encoding relevant contextual information in the task parameters, hence enabling flexible… read more here.
Keywords: parameterized skills; task parameterized; skills demonstrations; task ... See more keywords
Task-Parameterized Motion Learning With Time-Sensitive Constraints
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2025.3611083
Abstract: Teaching motion skills to robots through demonstrations has becomes widely popular. However, precise execution of start-, via-, and end-poses at given times is often not guaranteed, limiting the technology transfer to industrial application. To address… read more here.
Keywords: time sensitive; parameterized motion; task parameterized; sensitive constraints ... See more keywords