Collaborative Simultaneous Localization and Mapping Dataset on Mars Analogue Terrain with Inter-Robot Communication Estimates

Citation Author(s):
Pierre-Yves
Lajoie
Polytechnique Montreal
Karthik
Soma
Polytechnique Montreal
Haechan
Bong
Polytechnique Montreal
Alice
Lemieux-Bourque
Polytechnique Montreal
Rongge
Zhang
Polytechnique Montreal
Vivek
Shankar Varadharajan
Polytechnique Montreal
Giovanni
Beltrame
Polytechnique Montreal
Submitted by:
Pierre-Yves Lajoie
Last updated:
Wed, 12/11/2024 - 15:23
DOI:
10.21227/z1zp-e621
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Abstract 

Decentralized Collaborative Simultaneous Localization and Mapping (C-SLAM) is essential to enable multi-robot missions in unknown environments without relying on pre-existing localization and communication infrastructure. This technology is anticipated to play a key role in the exploration of the Moon, Mars, and other planets. In this work, we introduce a novel dataset collected during C-SLAM experiments involving three robots operating on a Mars analogue terrain. The dataset includes real-time peer-to-peer inter-robot throughput and latency measurements, providing a valuable resource to support future research on communication-constrained, decentralized multi-robot operations.

Instructions: 

Dataset Documentation: Decentralized Collaborative SLAM on Mars Analogue Terrain

Sensor Data (ROSBAG Files):
- Separate .bag files (bz2 compressed) for each robot (robot1.bag, robot2.bag, robot3.bag), including LiDAR, IMU, odometry, inter-robot latency, inter-robot throughput, GPS data.
- Extrinsic calibration files (.txt) relative sensor positions and orientations.

Install ROS and tools for .bag file handling.
Replay bags using: rosbag play robot1.bag
Other rosbag tools (such as decompression): https://wiki.ros.org/rosbag/Commandline
To convert the bags to ROS 2: https://gitlab.com/ternaris/rosbags  

For questions, email Pierre-Yves Lajoie (pierre-yves.lajoie@polymtl.ca)