arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2007.10220cs.RO
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Roboat II: A Novel Autonomous Surface Vessel for Urban Environments

Amsterdam Institute for Advanced Metropolitan Solutions(阿姆斯特丹高级大都市解决方案研究所);SENSEable City Laboratory, Massachusetts Institute of Technology(麻省理工学院可感知城市实验室);Computer Science and Artificial Intelligence Lab (CSAIL), Massachusetts Institute of Technology(麻省理工学院计算机科学与人工智能实验室)

Wei Wang, Tixiao Shan, Pietro Leoni, David Fernandez-Gutierrez, Drew Meyers, Carlo Ratti, Daniela Rus

英文摘要:

This paper presents a novel autonomous surface vessel (ASV), called Roboat II for urban transportation. Roboat II is capable of accurate simultaneous localization and mapping (SLAM), receding horizon tracking control and estimation, and path planning. Roboat II is designed to maximize the internal space for transport and can carry payloads several times of its own weight. Moreover, it is capable of holonomic motions to facilitate transporting, docking, and inter-connectivity between boats. The proposed SLAM system receives sensor data from a 3D LiDAR, an IMU, and a GPS, and utilizes a factor graph to tackle the multi-sensor fusion problem. To cope with the complex dynamics in the water, Roboat II employs an online nonlinear model predictive controller (NMPC), where we experimentally estimated the dynamical model of the vessel in order to achieve superior performance for tracking control. The states of Roboat II are simultaneously estimated using a nonlinear moving horizon estimation (NMHE) algorithm. Experiments demonstrate that Roboat II is able to successfully perform online mapping and localization, plan its path and robustly track the planned trajectory in the confined river, implying that this autonomous vessel holds the promise on potential applications in transporting humans and goods in many of the waterways nowadays.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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