devendrachaplot/Neural-SLAM
Pytorch code for ICLR-20 Paper "Learning to Explore using Active Neural SLAM"
This project helps researchers in robotics and AI develop and test autonomous agents that can explore unknown environments efficiently. It takes in sensory information, such as RGB camera feeds and sensor readings, and outputs a map of the environment and the agent's estimated position within it. This is used by researchers and engineers working on intelligent agents for tasks like search and rescue or automated navigation.
836 stars. No commits in the last 6 months.
Use this if you are an AI or robotics researcher looking to train or evaluate an intelligent agent capable of autonomous exploration and mapping in complex 3D simulated environments.
Not ideal if you need a plug-and-play solution for real-world robotics without deep technical understanding of AI model training and simulation frameworks.
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Language
Python
License
MIT
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Last pushed
Jun 17, 2024
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