Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Brian Reily"'
Autor:
M. Andrew Johnston, Evan Waite, Ethan Wright, Brian Reily, Gilma De Leon, Angela Esquivel, Jacob Kerwin, Maria Salazar, Emiliano Sarmiento, Tommy Thiatmaja, Sangmi Lee, Kelsey Yule, Nico Franz
Publikováno v:
Biodiversity Data Journal, Vol 11, Iss , Pp 1-43 (2023)
The State of Arizona in the south-western United States supports a high diversity of insects. Digitised occurrence records, especially from preserved specimens in natural history collections, are an important and growing resource to understand biodiv
Externí odkaz:
https://doaj.org/article/54eede83ebf9479f8593d0afc943a7f5
Publikováno v:
The International Journal of Robotics Research. 41:798-811
Awareness of team behaviors (e.g., individual activities and team intents) plays a critical role in human–robot teaming. Autonomous robots need to be aware of the overall intent of the team they are collaborating with in order to effectively aid th
Publikováno v:
2022 IEEE International Conference on Omni-layer Intelligent Systems (COINS).
Publikováno v:
IEEE Robotics and Automation Letters. 6:2052-2059
Recognition of group activities is critical for the success of applications that depend on effective human-robot teaming. Awareness of these group activities (also referred to team behaviors in some literature), including the individual activities of
Publikováno v:
2021 International Symposium on Multi-Robot and Multi-Agent Systems (MRS).
Publikováno v:
SSRR
Real-world disaster response or search and rescue operations require the seamless interaction of multiple teams and agencies. As multi-robot systems become more frequently used for disaster response due to the inherent dangerous environments, these s
Autor:
Hao Zhang, Brian Reily
Publikováno v:
ICRA
Sensor coverage is the critical multi-robot problem of maximizing the detection of events in an environment through the deployment of multiple robots. Large multi-robot systems are often composed of simple robots that are typically not equipped with
Publikováno v:
Virtual, Augmented, and Mixed Reality (XR) Technology for Multi-Domain Operations II.
Collaborative multi-sensor perception enables a sensor network to provide multiple views or observations of an environment, in a way that collects multiple observations into a cohesive display. In order to do this, multiple observations must be intel
Collaborative localization is an essential capability for a team of robots such as connected vehicles to collaboratively estimate object locations from multiple perspectives with reliant cooperation. To enable collaborative localization, four key cha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cfc9963fc07563a7eca02f07e10d99a5
Publikováno v:
Robotics: Science and Systems