D Chang, F Zhang, CR Edwards - Journal of Atmospheric and …, 2015 - journals.ametsoc.org
Real-Time Guidance of Underwater Gliders Assisted by Predictive Ocean Models in: Journal of Atmospheric and Oceanic Technology Volume 32 Issue 3 (2015) Jump to …
P Yao, SB Qi - Science China Technological Sciences, 2019 - Springer
This paper focuses on planning the obstacle-avoiding paths of multiple autonomous underwater vehicles (AUVs) in complex ocean environment, with the time coordination of …
S Feyzabadi, S Carpin - 2014 IEEE International Conference …, 2014 - ieeexplore.ieee.org
Next generation industrial plants will feature mobile robots (eg, autonomous forklifts) moving side by side with humans. In these scenarios, robots must not only maximize efficiency, but …
D Chang, W Wu, CR Edwards… - … International Journal of …, 2017 - journals.sagepub.com
Since the motion of autonomous underwater vehicles is affected by ambient flow, knowledge of an environmental flow field can be used to improve the navigation of autonomous …
Autonomous underwater vehicles (AUVs) operate in the three-dimensional and time- dependent marine environment with strong and dynamic currents. Our goal is to predict the …
Perception algorithms that provide estimates of their uncertainty are crucial to the development of autonomous robots that can operate in challenging and uncontrolled …
D Jones, GA Hollinger - IEEE Robotics and Automation Letters, 2017 - ieeexplore.ieee.org
We present a framework for planning energy-efficient trajectories through strong and uncertain disturbances, such as ocean currents and wind fields. First, we develop an …
P Yao, Z Zhao, Q Zhu - IEEE Systems Journal, 2019 - ieeexplore.ieee.org
This article focuses on the time-minimum path planning problem of autonomous underwater vehicles (AUVs) with the constraint of simultaneous arrival in an ocean environment. The …
A Hakobyan, I Yang - IEEE Transactions on Robotics, 2022 - ieeexplore.ieee.org
In this article, we propose a novel safety specification tool, called the distributionally robust risk map (DR-risk map), for a mobile robot operating in a learning-enabled environment …