Grasping and retrieving unknown hazardous objects with a mobile manipulator-Reference-Cited by-同舟云学术

Grasping and retrieving unknown hazardous objects with a mobile manipulator

Published:2022-10-01 Issue:10 Volume:70 Page:838-849
ISSN:2196-677X
Container-title:at - Automatisierungstechnik
language:en
Short-container-title:

Author:

Roennau Arne¹^ORCID,Mangler Johannes¹,Keller Philip¹,Grosse Besselmann Marvin¹,Huegel Nicolas¹,Dillmann Ruediger¹^ORCID

Affiliation:

1. FZI Forschungszentrum Informatik , Karlsruhe , Baden-Württemberg , Germany

Abstract

Abstract Robots show impressive flexibility and reliability in various applications. This makes them suitable to help and support humans in hazardous environments. They can handle dangerous, unknown objects with no risk for the operator’s health. In this work we present a shared operation approach for the identification and localization of unknown hazardous objects as well as a 3D mapping approach for mobile robots in challenging environments. A shared control force-based grasping approach complete these two components and makes it easy for a human operator to grasp and retrieve unknown hazardous objects. Including the human expertise in the operation and control is additionally supported by providing intuitive visualization on different levels of abstraction. The presented approach was successfully evaluated with two different mobile robots within a field test.

Funder

ROBDEKON project funded by the German Federal Ministry of Education and Research

Publisher

Walter de Gruyter GmbH

Subject

Electrical and Electronic Engineering,Computer Science Applications,Control and Systems Engineering

Link

https://www.degruyter.com/document/doi/10.1515/auto-2022-0061/pdf

Reference35 articles.

1. P. Kopacek, “Autonomous mobile robots,” Int. J. Autom. Austria (IJAA), vol. 18, pp. 53–59, 2010.

2. H. M. La, N. Gucunski, S. H. Kee, J. Yi, T. Senlet, and L. Nguyen, “Autonomous robotic system for bridge deck data collection and analysis,” in Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, IEEE, 2014, pp. 1950–1955.

3. R. Bogue, “Robots in the nuclear industry: a review of technologies and applications,” Ind. Robot, vol. 38, no. 2, pp. 113–118, 2011. https://doi.org/10.1108/01439911111106327.

4. D. W. Seward and M. J. Bakari, “The use of robotics and automation in nuclear decommissioning,” in Proceedings of the 22nd International Symposium on Automation and Robotics in Construction ISARC, 2005, pp. 11–14.

5. F. Bonin-Font, A. Ortiz, and G. Oliver, “Visual navigation for mobile robots: a survey,” J. Intell. Rob. Syst., vol. 53, no. 3, pp. 263–296, 2008. https://doi.org/10.1007/s10846-008-9235-4.

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