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https://github.com/ethz-asl/scouting-ipp

Repository for implementation of Traversing Mars: Cooperative Informative Path Planning to Efficiently Navigate Unknown Scenes
https://github.com/ethz-asl/scouting-ipp

planning robotics

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Repository for implementation of Traversing Mars: Cooperative Informative Path Planning to Efficiently Navigate Unknown Scenes

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# Traversing Mars: Cooperative Informative Path Planning to Efficiently Navigate Unknown Scenes

![](https://github.com/ethz-asl/scouting-ipp/assets/36043993/f0d283df-9de1-4eb7-b4b6-66a82a389194)

This repository will contain the code for our informative path planning (IPP) framework allowing a mobile scout (e.g. an MAV) to explore the cost-optimal path of a follower robot (e.g. a rover) to a goal location in unknown environments. (Visuals: NASA/JPL)

> This project was supported by the ETH Research Grant AvalMapper ETH-10 20-1 and the Swiss National Science Foundation (SNSF).

# Table of Contents
**Credits**
* [Paper](#Paper)
* [Video](#Video)

> **__Note__** The code will be released here shortly.
>
> **Setup**
> * Installation
> * Datasets
>
> **Examples**
> - Running an experiment

# Paper
If you find this useful for your research, please consider citing our paper:

* F. M. Rockenbauer, J. Lim, M. G. Müller, R. Siegwart and L. Schmid, "**Traversing Mars: Cooperative Informative Path Planning to Efficiently Navigate Unknown Scenes**" in *IEEE Robotics and Automation Letters*, vol. 10, no. 2, pp. 1776-1783, Feb. 2025, doi: 10.1109/LRA.2024.3513036 [ [IEEE](https://doi.org/10.1109/LRA.2024.3513036) ] [ [ArXiv](https://arxiv.org/abs/2406.05313) ]
```bibtex
@ARTICLE{10783051,
author={Rockenbauer, Friedrich M. and Lim, Jaeyoung and Müller, Marcus G. and Siegwart, Roland and Schmid, Lukas},
journal={IEEE Robotics and Automation Letters},
title={Traversing Mars: Cooperative Informative Path Planning to Efficiently Navigate Unknown Scenes},
year={2025},
volume={10},
number={2},
pages={1776-1783},
keywords={Robots;Costs;Space exploration;Path planning;Navigation;Planning;Mobile robots;Green products;Wheels;Uncertainty;View planning for SLAM;path planning for multiple mobile robots or agents;space robotics and automation},
doi={10.1109/LRA.2024.3513036}
}
```