Titlebook: Algorithmic Foundations of Robotics X; Proceedings of the T Emilio Frazzoli,Tomas Lozano-Perez,Daniela Rus Conference proceedings 2013 Spri

案發(fā)地點(diǎn)

Multi-robot Coverage and Exploration in Non-Euclidean Metric Spaces, of a convex environment with Euclidean metric is that proposed by Cortes, ., which is based on the discrete-time Lloyd’s algorithm. It is significantly difficult to achieve the same in non-convex environments and with non-Euclidean metrics. In this paper we generalize the control law based on minim

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Jubilation

Sparse Roadmap Spanners,ow too large. If optimality is relaxed, asymptotically near-optimal solutions produce sparser graphs by not including all edges. The idea stems from graph spanners, which produce sparse subgraphs that guarantee near-optimal paths. Existing asymptotically optimal and near-optimal planners, however, i

思鄉(xiāng)病

Toggle PRM: A Coordinated Mapping of C-Free and C-Obstacle in Arbitrary Dimension,ased approach known as the Probabilistic RoadMap Method (PRM). PRM and its many variants have demonstrated great success for some high-dimensional problems, but they all have some level of difficulty in the presence of narrow passages. Recently, an approach called Toggle PRM has been introduced whos

Canary

On the Power of Manifold Samples in Exploring Configuration Spaces and the Dimensionality of Narrowomplete analysis of low-dimensional configuration spaces with sampling-based approaches that are appropriate for higher dimensions. The framework explores the configuration space by taking samples that are . capturing its connectivity much better than isolated point samples. The contributions of thi

Medicare

變態(tài)

https://doi.org/10.1057/978-1-349-94910-6e provide two approximation algorithms; an .(log .)-approximation and an .(log .)-approximation, where . is the ratio between the maximum and minimum vertex weight. We provide simulation results which demonstrate that our algorithms can be applied to problems consisting of thousands of vertices.

Radiation

Ladson Hinton,Patricia A. Areánrward extension of prevalent sampling-based algorithms for the .-color case, fails even on simple scenarios. Interestingly, our algorithm outperforms a state-of-the- art implementation for the standard multi-robot problem, in which each robot has a distinct color.

疲勞

llibretto

Ladson Hinton,Patricia A. Areáns together ideas from various planners but deviates from existing integrations of .* with graph spanners. Simulations for rigid bodies show that . indeed provides small roadmaps and results in faster query resolution. The rate of node addition is shown to decrease over time and the quality of soluti