Safety-guaranteed trajectory planning and control based on GP estimation for unmanned surface vessels
We propose a safety-guaranteed planning and control framework for unmanned surface
vessels (USVs), using Gaussian processes (GPs) to learn uncertainties. The uncertainties …
vessels (USVs), using Gaussian processes (GPs) to learn uncertainties. The uncertainties …
Robot Planning and Execution with Unreliable Models
E Ratner - 2022 - escholarship.org
Many modern robotic systems rely on models to complete their tasks. A model captures all
aspects of the environment relevant to the robot, and enables the robot to predict the result …
aspects of the environment relevant to the robot, and enables the robot to predict the result …
MBB: Model-Based Baseline for Global Guidance of Model-Free Reinforcement Learning via Lower-Dimensional Solutions
One spectrum on which robotic control paradigms lie is the degree in which a model of the
environment is involved, from methods that are completely model-free such as model-free …
environment is involved, from methods that are completely model-free such as model-free …