Published September 9, 2016 | Version v1
Video/Audio Open

Tree Cavity Inspection Using Aerial Robots

  • 1. Disney Research Zurich/ Autonomous Systems Lab / ETH Zurich
  • 2. Autonomous Systems Lab / ETH Zurich
  • 3. Disney Research Zurich
  • 4. Swiss Federal Institute for Forest, Snow and Landscape Research WSL
  • 5. Swiss Federal Institute for Forest, Snow and Landscape Research WSL / Bern University of Applied Science / School of Agricultural, Forest and Food Sciences HAFL

Description

This video shows our approach to autonomous tree cavity inspection both in simulation and real experiment. It accompanies the paper referenced below.

Reference

Steich, Kelly, et al. "Tree cavity inspection using aerial robots." Intelligent Robots and Systems (IROS), 2016 IEEE/RSJ International Conference on. IEEE, 2016.

Abstract

We present an aerial robotic platform for remote tree cavity inspection, based on a hexacopter Micro-Aerial vehicle (MAV) equipped with a dexterous manipulator. The goal is to make the inspection process safer and more efficient and facilitate data collection about tree cavities, which are important for the conservation of biodiversity in forest ecosystems. This work focuses on two key enabling technologies, namely a vision-based cavity detection system and strategies for high level control of the MAV and manipulator. The results of both simulation and real-world experiments are discussed at the end of the paper and demonstrate the effectiveness of our approach.

Files

Tree Cavity Inspection Using Multirotor System.mp4

Files (11.0 MB)

Additional details

Funding

AEROWORKS – Collaborative Aerial Robotic Workers 644128
European Commission

References

  • Steich, Kelly, et al. "Tree cavity inspection using aerial robots." Intelligent Robots and Systems (IROS), 2016 IEEE/RSJ International Conference on. IEEE, 2016.
  • Kamel, Mina, Kostas Alexis, and Roland Siegwart. "Design and modeling of dexterous aerial manipulator." Intelligent Robots and Systems (IROS), 2016 IEEE/RSJ International Conference on. IEEE, 2016.