27 citations · 34 across the 6 of their papers we have counts for
4 papers · 1 filter
Active Tracking of Marine Pollution Sources: An Uncertainty-Aware Categorical Bayesian Framework for Unmanned Surface Vehicles
Song Ma, Yanchao Wang, Yewei Huang +2
This paper presents an uncertainty-aware framework for the active tracking of marine pollution sources using Unmanned Surface Vehicles (USVs). The proposed framework employs an Inf…
Dynamic Obstacle Avoidance of Unmanned Surface Vehicles in Maritime Environments Using Gaussian Processes Based Motion Planning
Jiawei Meng, Yuanchang Liu, Danail Stoyanov
During recent years, unmanned surface vehicles are extensively utilised in a variety of maritime applications such as the exploration of unknown areas, autonomous transportation, o…
Local Path Planning among Pushable Objects based on Reinforcement Learning
Linghong Yao, Valerio Modugno, Andromachi Maria Delfaki +3
In this paper, we introduce a method to deal with the problem of robot local path planning among pushable objects -- an open problem in robotics. In particular, we achieve that by…
A Fully-autonomous Framework of Unmanned Surface Vehicles in Maritime Environments using Gaussian Process Motion Planning
Jiawei Meng, Ankita Humne, Richard Bucknall +2
Unmanned surface vehicles (USVs) are of increasing importance to a growing number of sectors in the maritime industry, including offshore exploration, marine transportation and def…