Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Dilip Arumugam"'
Publikováno v:
Open Mind, Vol 8 (2024)
Externí odkaz:
https://doaj.org/article/11ef4f2d192a425fb48f22292cc9ae00
Publikováno v:
AAAI
State abstraction can give rise to models of environments that are both compressed and useful, thereby enabling efficient sequential decision making. In this work, we offer the first formalism and analysis of the trade-off between compression and per
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3b1da1906ab6b8d042a45d07c90dad08
https://doi.org/10.1609/aaai.v33i01.33013134
https://doi.org/10.1609/aaai.v33i01.33013134
Autor:
Edward Williams, Lawson L. S. Wong, Siddharth Karamcheti, Stefanie Tellex, Nakul Gopalan, Dilip Arumugam, Mina Rhee
Publikováno v:
Autonomous Robots. 43:449-468
Language grounding is broadly defined as the problem of mapping natural language instructions to robot behavior. To truly be effective, these language grounding systems must be accurate in their selection of behavior, efficient in the robot’s reali
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7abac7a2f7f7042562bfbad065743bc0
https://doi.org/10.1007/s10514-018-9792-8
https://doi.org/10.1007/s10514-018-9792-8
Publikováno v:
Robotics: Science and Systems
A method includes enabling a robot to learn a mapping between English language commands and Linear Temporal Logic (LTL) expressions, wherein neural sequence-to-sequence learning models are employed to infer a LTL sequence corresponding to a given nat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a10c33175525c43f2b10929e025dad0b
https://doi.org/10.15607/rss.2018.xiv.067
https://doi.org/10.15607/rss.2018.xiv.067
Autor:
Edward Williams, Dilip Arumugam, Siddharth Karamcheti, Mina Rhee, Lawson L. S. Wong, Nakul Gopalan, Stefanie Tellex
Publikováno v:
RoboNLP@ACL
Robots operating alongside humans in diverse, stochastic environments must be able to accurately interpret natural language commands. These instructions often fall into one of two categories: those that specify a goal condition or target state, and t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c52ca5ff1d65aa563a9f750fca4abffd
http://arxiv.org/abs/1707.08668
http://arxiv.org/abs/1707.08668
Publikováno v:
Robotics: Science and Systems
Humans can ground natural language commands to tasks at both abstract and fine-grained levels of specificity. For instance, a human forklift operator can be instructed to perform a high-level action, like "grab a pallet" or a low-level action like "t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::41bda916289646e7158e61626e0923ea
https://doi.org/10.15607/rss.2017.xiii.056
https://doi.org/10.15607/rss.2017.xiii.056
Autor:
Lei Yang, Smaranda Muresan, Shawn Squire, Monica Babes-Vroman, Stefanie Tellex, Dilip Arumugam, Marie desJardins, James MacGlashan, Michael L. Littman
Publikováno v:
Robotics: Science and Systems
As intelligent robots become more prevalent, methods to make interaction with the robots more accessible are increasingly important. Communicating the tasks that a person wants the robot to carry out via natural language, and training the robot to gr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::83dfcdeba7ddbcc3b185d38a9352ef40
https://doi.org/10.15607/rss.2015.xi.018
https://doi.org/10.15607/rss.2015.xi.018