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Titlebook: Distributed Autonomous Robotic Systems; The 14th Internation Nikolaus Correll,Mac Schwager,Michael Otte Conference proceedings 2019 Springe

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發(fā)表于 2025-3-25 06:05:16 | 只看該作者
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發(fā)表于 2025-3-25 08:16:30 | 只看該作者
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發(fā)表于 2025-3-25 14:44:27 | 只看該作者
The Markets in the Early Islamic Eran approach is proposed where a coarse plan that satisfies the logic constraints is computed first at the higher-level, followed by a lower-level task of solving a sequence of multi-agent reachability problems. Collision avoidance and potential asynchronous executions are also dealt with at the lower
24#
發(fā)表于 2025-3-25 16:47:13 | 只看該作者
Distributed Tunneling Reconfiguration of Sliding Cubic Modular Robots in Severe Space Requirements,ace requirements. This is because a tunneling modular robot only uses spaces occupied by the start and goal configurations. However, previously proposed methods have a limitation on the arrangement of start and goal configurations, in which the overlapped part between the start and goal configuratio
25#
發(fā)表于 2025-3-25 21:11:36 | 只看該作者
26#
發(fā)表于 2025-3-26 01:54:50 | 只看該作者
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發(fā)表于 2025-3-26 08:17:49 | 只看該作者
The Computational Complexity of Controller-Environment Co-design Using Library Selection for Distri. All previous effort, both empirical and theoretical, has focused on the problems of designing either controllers or environments which, in tandem with given environments or controllers, built the specified structures. In this paper, we give the results of the first computational and parameterized
28#
發(fā)表于 2025-3-26 12:26:09 | 只看該作者
29#
發(fā)表于 2025-3-26 12:58:14 | 只看該作者
Recruitment-Based Robotic Colony Allocation,ltural applications, including crop pollination, involve dynamic schedules that are unknown a priori; thus, an effective colony must characterize task completion and respond to perceived changes. Insect colonies rely on individuals’ observations to allocate their workforces to tasks, such as foragin
30#
發(fā)表于 2025-3-26 20:37:29 | 只看該作者
Time Efficient Inspection of Ground Vehicles by a UAV Team Using a Markov Inequality Based Rule,and intent of each ground vehicle are unknown, therefore, the uncertainty of its navigation has to be anticipated in the navigation of each UAV. We use the minimum time stochastic optimal control to navigate each UAV towards the inspection of ground vehicles. Based on this control, we formulate assi
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