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Autonomous construction using scarce resources in unknown environments: Ingredients for an intelligent robotic interaction with the physical world
ETH Zentrum, Zürich, Switzerland. (Autonomous Systems Laboratory)
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Intelligent Systems´ laboratory.ORCID iD: 0000-0003-3513-8854
École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland. (LSRO)
2012 (English)In: Autonomous Robots, ISSN 0929-5593, E-ISSN 1573-7527, Vol. 33, no 4, 476-485 p.Article in journal (Refereed) Published
Abstract [en]

The goal of creating machines that autonomously perform useful work in a safe, robust and intelligent manner continues to motivate robotics research.Achieving this autonomy requires capabilities for understanding the environment, physically interacting with it, predicting the outcomes of actions and reasoning with this knowledge.Such intelligent physical interaction was at the centre of early robotic investigations and remains an open topic.

In this paper, we build on the fruit of decades of research to explore further this question in the context of autonomous construction in unknown environments with scarce resources.Our scenario involves a miniature mobile robot that autonomously maps an environment and uses cubes to bridge ditches and build vertical structures according to high-level goals given by a human.

Based on a "real but contrived" experimental design, our results encompass practical insights for future applications that also need to integrate complex behaviours under hardware constraints, and shed light on the broader question of the capabilities required for intelligent physical interaction with the real world.

Place, publisher, year, edition, pages
Berlin: Springer, 2012. Vol. 33, no 4, 476-485 p.
Keyword [en]
intelligent physical interaction, reasoning, HTN planning, symbol grounding, autonomous construction, miniature mobile robots
National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
URN: urn:nbn:se:hh:diva-17551DOI: 10.1007/s10514-012-9296-xISI: 000307766800008Scopus ID: 2-s2.0-84868345477OAI: oai:DiVA.org:hh-17551DiVA: diva2:529297
Available from: 2012-05-29 Created: 2012-04-24 Last updated: 2017-04-13Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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