Localization, Grasping, and Transportation of Magnetic Objects by a Team of MAVs in Challenging Desert-Like Environments

Giuseppe Loianno, Vojtech Spurny, Justin Thomas, Tomas Baca, Dinesh Thakur, Daniel Hert, Robert Penicka, Tomas Krajnik, Alex Zhou, Adam Cho, Martin Saska, Vijay Kumar

Research output: Contribution to journalArticle

Abstract

Autonomous Micro Aerial Vehicles (MAVs) have the potential to assist in real-life tasks involving grasping and transportation, but not before solving several difficult research challenges. In this work, we address the design, control, estimation, and planning problems for cooperative localization, grasping, and transportation of objects in challenging outdoor scenarios. We demonstrate an autonomous team of MAVs able to plan safe trajectories for manipulation of ferrous objects, while guaranteeing interrobot collision avoidance and automatically creating a map of the objects in the environment. Our solution is predominantly distributed, allowing the team to pick and transport ferrous disks to a final destination without collisions. This result is achieved using a new magnetic gripper with a novel feedback approach, enabling the detection of successful grasping. The gripper design and all the components to build a platform are clearly provided as open-source hardware for reuse by the community. Finally, the proposed solution is validated through experimental results, where difficulties include inconsistent wind, uneven terrain, and sandy conditions.

Original languageEnglish (US)
Pages (from-to)1576-1583
Number of pages8
JournalIEEE Robotics and Automation Letters
Volume3
Issue number3
DOIs
StatePublished - Jul 1 2018

Fingerprint

Grasping
Grippers
Antennas
Collision avoidance
Collision Avoidance
Trajectories
Feedback
Hardware
Control Design
Planning
Inconsistent
Open Source
Reuse
Manipulation
Collision
Trajectory
Scenarios
Experimental Results
Demonstrate
Object

Keywords

  • Aerial systems: applications
  • field robots
  • swarms

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Human-Computer Interaction
  • Biomedical Engineering
  • Mechanical Engineering
  • Control and Optimization
  • Artificial Intelligence
  • Computer Science Applications
  • Computer Vision and Pattern Recognition

Cite this

Localization, Grasping, and Transportation of Magnetic Objects by a Team of MAVs in Challenging Desert-Like Environments. / Loianno, Giuseppe; Spurny, Vojtech; Thomas, Justin; Baca, Tomas; Thakur, Dinesh; Hert, Daniel; Penicka, Robert; Krajnik, Tomas; Zhou, Alex; Cho, Adam; Saska, Martin; Kumar, Vijay.

In: IEEE Robotics and Automation Letters, Vol. 3, No. 3, 01.07.2018, p. 1576-1583.

Research output: Contribution to journalArticle

Loianno, G, Spurny, V, Thomas, J, Baca, T, Thakur, D, Hert, D, Penicka, R, Krajnik, T, Zhou, A, Cho, A, Saska, M & Kumar, V 2018, 'Localization, Grasping, and Transportation of Magnetic Objects by a Team of MAVs in Challenging Desert-Like Environments', IEEE Robotics and Automation Letters, vol. 3, no. 3, pp. 1576-1583. https://doi.org/10.1109/LRA.2018.2800121
Loianno, Giuseppe ; Spurny, Vojtech ; Thomas, Justin ; Baca, Tomas ; Thakur, Dinesh ; Hert, Daniel ; Penicka, Robert ; Krajnik, Tomas ; Zhou, Alex ; Cho, Adam ; Saska, Martin ; Kumar, Vijay. / Localization, Grasping, and Transportation of Magnetic Objects by a Team of MAVs in Challenging Desert-Like Environments. In: IEEE Robotics and Automation Letters. 2018 ; Vol. 3, No. 3. pp. 1576-1583.
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