Autonomous Exploration Under Uncertainty via Deep Reinforcement Learning on Graphs
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Updated
Jul 10, 2021 - C++
Autonomous Exploration Under Uncertainty via Deep Reinforcement Learning on Graphs
Public Code Repository of the iRotate Active SLAM for Omnidirectional robots at the Max Planck Institute for Intelligent Systems, Tübingen
[TMECH 2023] Active View Planning for Visual SLAM in Outdoor Environments Based on Continuous Information Modeling
Implementation of a basic active slam alogorithm in ros and gazebo
A Python library for Robotic Information Gathering
Active SLAM or Active Mapping is focused on how to build a good map autonomously
GRADE evaluation and processing scripts
Developed an interactive engine that is capable of visualizing the active(incremental) mapping of a bot along with its sensor interactions with its environment.
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