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Comprehensive Perception and Dynamic Anchoring

Comprehensive Perception and Dynamic Anchoring

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“Robot, bring me my cordless screwdriver!” This is a plausible command for a service robot, in a production environment as in a private home. Robots handling over a tool to a human have been demonstrated a lot. Bringing objects is state of the art. Well – perceiving a screwdriver (in some arbitrary, previously unknown pose), picking it up, bringing it and handing it over is state of the art. How about this “my screwdriver”? Not just any screwdriver, or any one of some particular type, but “my”? Distinguishing between individual objects in everyday environments is trivial for us humans: we would do this without any conscious effort in daily life. Doing this technically requires solving the conceptual problem of effectively maintaining the correspondence between physical objects and their representation – even if the objects don’t differ sensorially. For robots to solve this, we have to enable them to do this based on knowledge and context: “I left my screwdriver on the workbench” or “my mug is the one on my desk”. The currently unsolved general problem behind this is called “anchoring”: the process of “creating and maintaining the correspondence between symbols and sensor data that refer to the same physical objects” (Coradeschi & Saffiotti 2003). The goal of the CoPDA project is to provide software that is able to solve the anchoring problem under given particular conditions; we call it the Dynamic Anchoring Agent (DAA). This DAA, based on a particular knowledge representation and a particular (multi-)sensor configuration, will be conceived, implemented, tested and demonstrated in varying environments, including an indoor and an outdoor use case (lab production environment and real marina). The DAA will be made publicly available for use for the robotics community in the ROS (Robot Operating System) ecosystem.


BMBF - Federal Ministry of Education and Research


BMBF - Federal Ministry of Education and Research


© (Foto: Martin Günther, DFKI GmbH)

"Robot, bring me my cordless screwdriver" - which one is "my" screwdriver?

Publications about the project

Anke Dittmer; Tobias Stolzmann; Friedemann Kammler; Martin Günther; Oliver Ferdinand; Oliver Thomas; Joachim Hertzberg; Oliver Zielinski

In: Sara D'Onofrio; Stefan Meinhardt (Hrsg.). Robotik in der Wirtschaftsinformatik. Chapter 16, Pages 343-360, Edition HMD, ISBN 978-3-658-39621-3, Springer Fachmedien Wiesbaden, Wiesbaden, 8/2023.

To the publication

Oscar Lima; Martin Günther; Alexander Sung; Sebastian Stock; Marc Vinci; Amos Smith; Jan Christoph Krause; Joachim Hertzberg

In: Proceedings of the PlanRob Workshop of the 28th International Conference on Automated Planning and Scheduling. Workshop on Planning and Robotics (PlanRob-2023), PlanRob Workshop of the 33rd International Conference on Automated Planning and Scheduling, located at ICAPS 2023, July 8-13, Prague, Czech Republic, n.n. 7/2023.

To the publication

Oliver Ferdinand; Nick Rüssmeier; Andrej Lejman; Martin Günther; Friedemann Kammler; Frederic Theodor Stahl; Oliver Zielinski

In: Proceedings of OCEANS 2023. OCEANS MTS/IEEE Conference (OCEANS-2023), June 5-8, Limerick, Ireland, ISBN 979-8-3503-3226-1, IEEE, 2023.

To the publication