Zobrazeno 1 - 10
of 47
pro vyhledávání: '"Nora Ayanian"'
Publikováno v:
Applied Sciences, Vol 11, Iss 7, p 3115 (2021)
Complex service robotics scenarios entail unpredictable task appearance both in space and time. This requires robots to continuously relocate and imposes a trade-off between motion costs and efficiency in task execution. In such scenarios, multi-robo
Externí odkaz:
https://doaj.org/article/77208d69f3264ddf9e0d8448dfb5ae92
Publikováno v:
IEEE Robotics and Automation Letters. 4:1125-1131
Multi-agent path finding (MAPF) is a well-studied problem in artificial intelligence that can be solved quickly in practice when using simplified agent assumptions. However, real-world applications, such as warehouse automation, require physical robo
Autor:
Nora Ayanian
Publikováno v:
The International Journal of Robotics Research. 38:1329-1337
This paper defines the research area of Diversity-enhanced Autonomy in Robot Teams (DART), a novel paradigm for the creation and design of policies for multi-robot coordination. Although current approaches to multi-robot coordination have been succes
Autor:
Nora Ayanian, Elahe Aghapour
Publikováno v:
ICRA
We are interested in learning models of non-stationary environments, which can be framed as a multi-task learning problem. Model-free reinforcement learning algorithms can achieve good asymptotic performance in multi-task learning at a cost of extens
Publikováno v:
Proceedings of the International Symposium on Combinatorial Search. 10:190-191
The Multi-Agent Pickup and Delivery (MAPD) problem models applications where a large number of agents attend to a stream of incoming pickup-and-delivery tasks. Token Passing (TP) is a recent MAPD algorithm that is efficient and effective. We make TP
Publikováno v:
Proceedings of the International Symposium on Combinatorial Search. 3:177-178
Multirobot path planning and task assignment are traditionally treated separately, however task assignment can greatly impact the difficulty of the path planning problem, and the ultimate quality of solution is dependent upon both. We introduce task
Publikováno v:
IROS
For multiple robots performing exploration in a previously unmapped environment, such as planetary exploration, maintaining accurate localization and building a consistent map are vital. If the robots do not have a map to localize against and do not
Publikováno v:
Autonomous Robots, 44(3-4), 297-298. Springer
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e21894c758ce0b58db6eb4a97e895444
https://research.utwente.nl/en/publications/db753619-c3fb-4d68-b2a6-f263e5ad65b2
https://research.utwente.nl/en/publications/db753619-c3fb-4d68-b2a6-f263e5ad65b2
Publikováno v:
IEEE Transactions on Robotics. 34:856-869
We describe a method for multirobot trajectory planning in known, obstacle-rich environments. We demonstrate our approach on a quadrotor swarm navigating in a warehouse setting. Our method consists of following three stages: 1) roadmap generation tha
Publikováno v:
IEEE Transactions on Automation Science and Engineering. 15:852-862
This paper addresses combinatorial problems that arise in multirobot battery exchange systems. The multirobot battery exchange system addressed herein is characterized by two types of robots: task robots that provide services at requested locations a