Zobrazeno 1 - 10
of 1 249
pro vyhledávání: '"80101 Adaptive Agents and Intelligent Robotics"'
Autor:
Liang, Qiao
Robust and generalizable robots that can autonomously manipulate objects in semi-structured environments can bring material benefits to society. Datadriven learning approaches are crucial for enabling such systems by identifying and exploiting patter
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::25fed06d106d95ef4031baa6b7c9b2cf
Autor:
Hong, Chloe
Designing is an open-ended process that involves multiple iterations of creating artifacts and evaluating them with multifaceted criteria. The challenges come from the fact that not only the artifact, but the criteria for design are gradually articul
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3319a689d56945f96ab50a83e85f11ec
Autor:
Huang, Zhe
Due to the complex and safety-critical nature of autonomous driving, recent works typically test their ideas on simulators designed for the very purpose of advancing self-driving research. Despite the convenience of modeling autonomous driving as a t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0494d17dc51a538f8e47977facc891dc
Autor:
Foo, Mitchell
The ways that we embody interactions in virtual spaces are rapidly evolving with developments in the fields of deep learning and virtual reality. This is significant because these spaces are increasingly becoming extensions of different human social
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1bcc523925c7210b50c93b35131e0628
Autor:
Garg, Rohit
Subterranean exploration has been thrust into the spotlight by the recent DARPA Subterranean Challenge. Teams are tasked with developing a multi-agent system that can rapidly navigate through unknown underground environments while sending back maps a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4ae1ebdc5c5754e4a9ca1e522d92bbf8
Autor:
Chatterjee, Ishani
We focus on relatively low dimensional robot motion planning problems, such as planning for navigation of a self-driving vehicle, unmanned aerial vehicles (UAVs), and footstep planning for humanoids. In these problems, there is a need for fast planni
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3ca3d5689b0be4748c8db6e83e937fc4
Swarms consist of numerous entities that work together to achieve an objective. There are twobroad schools of swarms, centralized and decentralized, which refers to the method of organizationemployed by the swarm. With the abundance and readiness of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3004a046efd388fe4e1bc6cfcbef93f3
Autor:
Aronson, Reuben
Teleoperated systems are used widely in deployed robots today, for such tasks as space exploration, disaster recovery, or assisted manipulation. However, teleoperated systems are difficult to control, especially when performing high-dimensional, cont
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b32f7b7fe9b9d3bee1d5e3aa89113ecf
Autor:
Francis, Jonathan
Computational context understanding refers to an agent’s ability to fuse disparate sources of information for decision-making and is, therefore, generally regarded as a prerequisite for sophisticated machine reasoning capabilities, as in artificial
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4a35acf16eeb61257c12730c507bf638
Autor:
Riley, Joshua
Multi-agent reinforcement learning involves and facilitates a team of agents to solve complex decision-making problems in shared environments. This learning process is largely successful in many areas, but its inherently stochastic nature is problema
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c48e0d8c7663caf12b746857bac996e