101 citations · 104 across the 6 of their papers we have counts for
6 papers
Distributed Motion Planning with Safety Guarantees for Self-Reconfiguring Robotic Boats
Alejandro Gonzalez-Garcia, Wei Wang, Wei Xiao +4
Aquatic self-reconfigurable robots must assemble into desired shapes while ensuring safe interactions among multiple agents. This paper proposes a hybrid framework that combines di…
Safe Motion Planning and Control Using Predictive and Adaptive Barrier Methods for Autonomous Surface Vessels
Alejandro Gonzalez-Garcia, Wei Xiao, Wei Wang +5
Safe motion planning is essential for autonomous vessel operations, especially in challenging spaces such as narrow inland waterways. However, conventional motion planning approach…
Deep Reinforcement Learning Based Tracking Control of an Autonomous Surface Vessel in Natural Waters
Wei Wang, Xiaojing Cao, Alejandro Gonzalez-Garcia +5
Accurate control of autonomous marine robots still poses challenges due to the complex dynamics of the environment. In this paper, we propose a Deep Reinforcement Learning (DRL) ap…
Survey of Deep Learning for Autonomous Surface Vehicles in the Marine Environment
Yuanyuan Qiao, Jiaxin Yin, Wei Wang +3
Within the next several years, there will be a high level of autonomous technology that will be available for widespread use, which will reduce labor costs, increase safety, save e…
Distributed Motion Control for Multiple Connected Surface Vessels
Wei Wang, Zijian Wang, Luis Mateos +4
We propose a scalable cooperative control approach which coordinates a group of rigidly connected autonomous surface vessels to track desired trajectories in a planar water environ…
LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping
Tixiao Shan, Brendan Englot, Drew Meyers +3
We propose a framework for tightly-coupled lidar inertial odometry via smoothing and mapping, LIO-SAM, that achieves highly accurate, real-time mobile robot trajectory estimation a…