GNAT
发表于 2025-3-23 13:06:29
https://doi.org/10.1057/978-1-349-94910-6to an unknown, simply connected polygonal region. The robot is unable to build precise geometric maps of the environment. Most of the robot’s information comes from a gap sensor, which indicates depth discontinuities and allows the robot to move toward them. A motion strategy is presented that optim
Mercurial
发表于 2025-3-23 14:03:02
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Leaven
发表于 2025-3-23 22:06:24
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Melatonin
发表于 2025-3-24 01:47:13
https://doi.org/10.1007/978-0-387-78512-7 assignment and trajectory planning subproblems concurrently. This is related to the standard linear Euclidean assignment problem except that the solution to the trajectory generation subproblem must result in time-parameterized trajectories and guarantee collision avoidance.We begin with a centrali
平淡而无味
发表于 2025-3-24 05:32:42
Ladson Hinton,Patricia A. Areánre interchangeable. Every robot is no longer required to move to a specific target, but rather to some target placement that is assigned to its group. We call this problem . and provide a sampling-based algorithm specifically designed for solving it. At the heart of the algorithm is a novel techniqu
Dysarthria
发表于 2025-3-24 08:20:51
Guillermo Bernal,Mae Lynn Reyese assembly in industrial settings, often occurs in unstructured environments where it may be difficult to manipulate objects to a high level of precision. This is particularly true with aerial assembly. There are challenges in positioning aerial robots and in deploying complicated manipulators or ma
Haphazard
发表于 2025-3-24 10:39:55
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Prostaglandins
发表于 2025-3-24 18:48:43
Thomas P. Gullotta,Sergio A. Aguilar-Gaxiola 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
dendrites
发表于 2025-3-24 22:23:19
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Pituitary-Gland
发表于 2025-3-24 23:52:48
Ladson Hinton,Patricia A. Areánow 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