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pro vyhledávání: '"Dylan Turpin"'
Learning to autonomously assemble shapes is a crucial skill for many robotic applications. While the majority of existing part assembly methods focus on correctly posing semantic parts to recreate a whole object, we interpret assembly more literally:
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f9ee29b34e81006887fe89c8c296c127
http://arxiv.org/abs/2205.14886
http://arxiv.org/abs/2205.14886
Autor:
Dylan Turpin, Liquan Wang, Eric Heiden, Yun-Chun Chen, Miles Macklin, Stavros Tsogkas, Sven Dickinson, Animesh Garg
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031200670
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::408c5767f6d6114ef3143b47949c4084
https://doi.org/10.1007/978-3-031-20068-7_12
https://doi.org/10.1007/978-3-031-20068-7_12
Publikováno v:
Robotics: Science and Systems
Tool use requires reasoning about the fit between an object's affordances and the demands of a task. Visual affordance learning can benefit from goal-directed interaction experience, but current techniques rely on human labels or expert demonstration
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9d7c5a5e45236a038f95469280283fcf
https://doi.org/10.15607/rss.2021.xvii.060
https://doi.org/10.15607/rss.2021.xvii.060
