Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Lawson L. S. Wong"'
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
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
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
Publikováno v:
ISRR
Wong
Wong
Autonomous mobile-manipulation robots need to sense and interact with objects to accomplish high-level tasks such as preparing meals and searching for objects. To achieve such tasks, robots need semantic world models, defined as object-based represen
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
Publikováno v:
ICRA
Fetching items is an important problem for a social robot. It requires a robot to interpret a person's language and gesture and use these noisy observations to infer what item to deliver. If the robot could ask questions, it would help the robot be f
Publikováno v:
ICRA
We address the problem of a mobile manipulation robot searching for an object in a cluttered domain that is populated with an unknown number of objects in an unknown arrangement. The robot must move around its environment, looking in containers, movi
Autor:
Lawson L. S. Wong
Publikováno v:
AI Matters. 3:21-22
Mobile-manipulation robots performing service tasks in human-centric indoor environments have long been a dream for developers of autonomous agents. Tasks such as cooking and cleaning involve interaction with the environment, hence robots need to kno
Publikováno v:
MIT web domain
ICRA
ICRA
Spatial representations are fundamental to mobile robots operating in uncertain environments. Two frequently-used representations are occupancy grid maps, which only model metric information, and object-based world models, which only model object att
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4bc4ca680ab78f60abb5b2348c817801
https://orcid.org/0000-0002-8657-2450
https://orcid.org/0000-0002-8657-2450