DevilCJS89 / rsl_heap

RSL HEAP

This repository is a collection of material for the HEAP excavator at the Robotic Systems Lab at ETH Zurich. The main contributors of this repository and the linked resources are (ordered alphatically by last name):

Burak Cizmezi, Pascal Egli, Edo Jelavic, Ryan Johns, Dominic Jud, Simon Kerscher, Grzegorz Malczyk, Fang Nan, Julian Nubert, Lorenzo Terenzi, Marco Tranzatto, Fan Yang

Resources

This repository will be continously updated over the coming months and years. The main content will consist of resources to run and reproduce our open-source code, recorded datasets, recent related publiations and other material.

HEAP URDF

The ./heap_urdf directory contains a URDF with the full HEAP collision model.

Recent Publications

2022

• Pascal Egli, Dominique Gaschen, Simon Kerscher, Dominic Jud, Marco Hutter, "Soil-Adaptive Excavation Using Reinforcement Learning", IROS2022
  • Paper
• Julian Nubert, Etienne Walther, Shehryar Khattak, Marco Hutter, "Learning-based Localizability Estimation for Robust LiDAR Localization", IROS2022
  • Code: https://github.com/leggedrobotics/L3E
  • Paper
• Edo Jelavic, Julian Nubert, Marco Hutter, "Open3D SLAM: Point Cloud Based Mapping and Localization for Eduation", ICRA2022 Workshop
  • Code: https://github.com/leggedrobotics/open3d_slam
  • Poster
• Julian Nubert, Shehryar Khattak, Marco Hutter, "Graph-based Multi-sensor Fusion for Consistent Localization of Autonomous Construction Robots", ICRA2022
  • Code: https://github.com/leggedrobotics/graph_msf
  • Paper
• Edo Jelavic, Tun Kapgen, Simon Kerscher, Dominic Jud, Marco Hutter, "Harveri: A Small (Semi-) Autonomous Precision Tree Harvester", ICRA2022 Workshop
  • Paper

Datasets

• Data accompanying to our ICRA2022 paper:
  • Google Drive Link
  • Contains: IMU measurements, LiDAR odometry from CompSLAM, Left and Right GNSS measurements, and an (arm-)filtered point cloud.