Zobrazeno 1 - 10
of 80
pro vyhledávání: '"Petter Ögren"'
Publikováno v:
Ad Hoc Networks. 138:103014
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5bb0107107e5e11e99eac0c3b4faf268
https://doi.org/10.1016/j.adhoc.2022.103014
https://doi.org/10.1016/j.adhoc.2022.103014
Publikováno v:
SSRR
In this paper we formulate and solve the concurrent multi-agent search and rescue problem (C-SARP), where a multi-agent system is to concurrently search an area and assist the victims found during the search. It is widely believed that a UAV-system c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::79f4270eddc49fce2d1267c52d8a0c15
https://doi.org/10.1109/ssrr53300.2021.9597685
https://doi.org/10.1109/ssrr53300.2021.9597685
Publikováno v:
SSRR
In this paper we propose a version of the Genetic Algorithm (GA) for combined task assignment and path planning that is highly decentralized in the sense that each agent only knows its own capabilities and data, and a set of so-called handover values
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3a987f68f7de07b060c5d69313236508
https://doi.org/10.1109/ssrr53300.2021.9597856
https://doi.org/10.1109/ssrr53300.2021.9597856
Publikováno v:
Robotics and Autonomous Systems. 111:73-87
The Robot Operating System (ROS) is a popular and widely used software framework for building robotics systems. With the growth of its popularity, it has started to be used in multi-robot systems a ...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cedbb99ad31859caea161b6e91091671
https://doi.org/10.1016/j.robot.2018.10.009
https://doi.org/10.1016/j.robot.2018.10.009
Publikováno v:
Robotics and Autonomous Systems. 154:104096
Behavior Trees (BTs) were invented as a tool to enable modular AI in computer games, but have received an increasing amount of attention in the robotics community in the last decade. With rising demands on agent AI complexity, game programmers found
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::87ad2aae90d27880389a91dc2b4383ca
https://doi.org/10.1016/j.robot.2022.104096
https://doi.org/10.1016/j.robot.2022.104096
Autor:
Edvards Scukins, Petter Ögren
Publikováno v:
ICRA
Air Combat is a high-risk activity carried out by trained professionals operating sophisticated equipment. During this activity, a number of trade-offs have to be made, such as the balance between risk and efficiency. A policy that minimizes risk cou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e5169530f9312a4a89b085fd5ac2822b
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-293491
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-293491
Publikováno v:
2020 IEEE/OES Autonomous Underwater Vehicles Symposium (AUV)(50043).
In this work, we investigate using reinforcement learning (RL) to learn controllers that generate continuous trajectories that minimise the uncertainty of a bathymetric model of a given environment, whilst respecting time constraints.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::93f1ea8c1cd3b664b937fe077d513b21
https://doi.org/10.1109/auv50043.2020.9267888
https://doi.org/10.1109/auv50043.2020.9267888
Autor:
Özer Özkahraman, Petter Ögren
Publikováno v:
CDC
Robot missions typically involve a number of desired objectives, such as avoiding collisions, staying connected to other robots, gathering information using sensors and returning to the charging station before the battery runs out. Some of these obje
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::73f20eda7aadd09ad9ff83551c496fc7
Autor:
Josefine Severholt, Sriharsha Bhat, Nils Bore, John Folkesson, Ivan Stenius, Carl Ljung, Ignacio Torroba, Yiping Xie, Christopher Iliffe Sprague, Özer Özkahraman, Petter Ögren
Cyber-physical systems (CPSs) comprise a network of sensors and actuators that are integrated with a computing and communication core. Hydrobatic Autonomous Underwater Vehicles (AUVs) can be efficient and agile, offering new use cases in ocean produc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d929ede2f95cbcbf1b865b1070e5c6c1
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-282193
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-282193
Autor:
Patric Jensfelt, E B Francisco Vina, Sergio Caccamo, Joshua A. Haustein, Petter Ögren, João F. Pinto B. De Carvalho, Danica Kragic, Diogo Almeida, Yiannis Karayiannidis, Silvia Cruciani, Rares Ambrus, Xi Chen, Alejandro Marzinotto
Publikováno v:
Advances on Robotic Item Picking ISBN: 9783030356781
In this work we summarize the solution developed by Team KTH for the Amazon Picking Challenge 2016 in Leipzig, Germany. The competition simulated a warehouse automation scenario and it was divided ...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::846379c410b00772d3f85398776ddc59
https://doi.org/10.1007/978-3-030-35679-8_5
https://doi.org/10.1007/978-3-030-35679-8_5