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A survey on deep learning and deep reinforcement learning in robotics with a tutorial on deep reinforcement learning
This article is about deep learning (DL) and deep reinforcement learning (DRL) works
applied to robotics. Both tools have been shown to be successful in delivering data-driven …
applied to robotics. Both tools have been shown to be successful in delivering data-driven …
[HTML][HTML] Learning-based methods of perception and navigation for ground vehicles in unstructured environments: A review
The problem of autonomous navigation of a ground vehicle in unstructured environments is
both challenging and crucial for the deployment of this type of vehicle in real-world …
both challenging and crucial for the deployment of this type of vehicle in real-world …
Badgr: An autonomous self-supervised learning-based navigation system
Mobile robot navigation is typically regarded as a geometric problem, in which the robot's
objective is to perceive the geometry of the environment in order to plan collision-free paths …
objective is to perceive the geometry of the environment in order to plan collision-free paths …
Fast traversability estimation for wild visual navigation
J Frey, M Mattamala, N Chebrolu, C Cadena… - ar** based on machine learning: A survey
With the rapid development of machine learning, its powerful function in the machine vision
field is increasingly reflected. The combination of machine vision and robotics to achieve the …
field is increasingly reflected. The combination of machine vision and robotics to achieve the …
Learning off-road terrain traversability with self-supervisions only
Estimating the traversability of terrain should be reliable and accurate in diverse conditions
for autonomous driving in off-road environments. However, learning-based approaches …
for autonomous driving in off-road environments. However, learning-based approaches …
[PDF][PDF] A Survey on Terrain Traversability Analysis for Autonomous Ground Vehicles: Methods, Sensors, and Challenges.
Understanding the terrain in the upcoming path of a ground robot is one of the most
challenging problems in field robotics. Terrain and traversability analysis is a …
challenging problems in field robotics. Terrain and traversability analysis is a …
V-strong: Visual self-supervised traversability learning for off-road navigation
Reliable estimation of terrain traversability is critical for the successful deployment of
autonomous systems in wild, outdoor environments. Given the lack of large-scale annotated …
autonomous systems in wild, outdoor environments. Given the lack of large-scale annotated …
Learning visual locomotion with cross-modal supervision
In this work, we show how to learn a visual walking policy that only uses a monocular RGB
camera and proprioception. Since simulating RGB is hard, we necessarily have to learn …
camera and proprioception. Since simulating RGB is hard, we necessarily have to learn …