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Lingli Yu and Zhengjiu Wang
This work is used for multi-robot autonomous systems.
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Okan Minnetoglu and Erdinc Sahin Conkur
An effective path-planning algorithm in three-dimensional (3D) environments based on a geometric approach for redundant/hyper-redundant manipulators are presented in this paper. The method works within confined spaces cluttered with obstacles in real-tim...
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Yogang Singh, Marco Bibuli, Enrica Zereik, Sanjay Sharma, Asiya Khan and Robert Sutton
Formation control and cooperative motion planning are two major research areas currently being used in multi robot motion planning and coordination. The current study proposes a hybrid framework for guidance and navigation of swarm of unmanned surface ve...
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Naifeng Wen, Yundong Long, Rubo Zhang, Guanqun Liu, Wenjie Wan and Dian Jiao
This research introduces a two-stage deep reinforcement learning approach for the cooperative path planning of unmanned surface vehicles (USVs). The method is designed to address cooperative collision-avoidance path planning while adhering to the Interna...
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Ayesha Hameed, Andrzej Ordys, Jakub Mozaryn and Anna Sibilska-Mroziewicz
Collaborative robots cooperate with humans to assist them in undertaking simple-to-complex tasks in several fields, including industry, education, agriculture, healthcare services, security, and space exploration. These robots play a vital role in the re...
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Han Han, Yanhui Wei, Xiufen Ye and Wenzhi Liu
This paper presents new motion planning and robust coordinated control schemes for trajectory tracking of the underwater vehicle-manipulator system (UVMS) subjected to model uncertainties, time-varying external disturbances, payload and sensory noises. A...
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K. Pitilakis, S. Argyroudis, K. Kakderi, J. Selva
Pág. 1335 - 1344
Transportation infrastructures are complex systems of various connected components like bridges, roads, tunnels, embankments, retaining walls in case of a highway system or wharfs, cranes, buildings, utility systems in case of port facilities. Due to the...
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