Roboat II: A Novel Autonomous Surface Vessel for Urban Environments
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Abstract (arXiv)
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.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). First posted on arXiv 20 Jul 2020.
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Citing papers per year: 2022: 3; 2023: 0; 2024: 0; 2025: 0; 2026: 1.
4 papers.
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- 2026Cross-Platform Control for Autonomous Surface Vehicles via Adaptive Reinforcement Learningcited by 0
- 2026Cross-Platform Control for Autonomous Surface Vehicles via Adaptive Reinforcement Learning2 Jul 2026
- 2022Spatial-temporal recurrent reinforcement learning for autonomous ships2 Nov 2022
- 2022Survey of Deep Learning for Autonomous Surface Vehicles in the Marine Environment16 Oct 2022
- 2022SimuShips -- A High Resolution Simulation Dataset for Ship Detection with Precise Annotations22 Sep 2022