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Titlebook: Distributed Autonomous Robotic Systems; 15th International S Fumitoshi Matsuno,Shun-ichi Azuma,Masahito Yamamot Conference proceedings 2022

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樓主: deep-sleep
41#
發(fā)表于 2025-3-28 15:39:21 | 只看該作者
,Distributed Cooperative Localization with?Efficient Pairwise Range Measurements,ned for underwater robots equipped with an acoustic communication and ranging system. Range measurements are not sufficient to compute a complete relative 3D position. Therefore, covariance intersection is performed in a transformed space along their relative estimated positions, while preserving cr
42#
發(fā)表于 2025-3-28 20:10:17 | 只看該作者
43#
發(fā)表于 2025-3-28 23:48:10 | 只看該作者
,Opportunistic Multi-robot Environmental Sampling via?Decentralized Markov Decision Processes,ironment for the sampling task. The objective of the robots is to visit a subset of locations in the environment such that the collected information is maximized, and consequently, the underlying information model matches as close to reality as possible. The robots have limited communication ranges,
44#
發(fā)表于 2025-3-29 03:25:03 | 只看該作者
,A PHD Filter Based Localization System for?Robotic Swarms,to use only local information collected by onboard lidar and camera sensors to identify and track other swarm members within proximity. The multi-sensor setup of the system accounts for the inability of single sensors to provide enough information for the simultaneous identification of teammates and
45#
發(fā)表于 2025-3-29 09:35:09 | 只看該作者
,An Innate Motivation to?Tidy Your Room: Online Onboard Evolution of?Manipulation Behaviors in?a?Robf ‘minimal surprise’ in a series of previous works. In a multi-robot setting, we use evolutionary computation to evolve pairs of artificial neural networks: an actor network to select motor speeds and a predictor network to predict future sensor input. By rewarding for prediction accuracy, we give r
46#
發(fā)表于 2025-3-29 12:20:32 | 只看該作者
47#
發(fā)表于 2025-3-29 18:14:59 | 只看該作者
48#
發(fā)表于 2025-3-29 23:12:42 | 只看該作者
49#
發(fā)表于 2025-3-30 01:48:39 | 只看該作者
50#
發(fā)表于 2025-3-30 06:37:31 | 只看該作者
2511-1256 tributedautonomous robotic systems (DARS). They reflect current research themes in DARS with important contributions. We hope that this book helps to sustain the interest in DARS and triggers new research. ..?.978-3-030-92792-9978-3-030-92790-5Series ISSN 2511-1256 Series E-ISSN 2511-1264
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