Titlebook: Advances in Plan-Based Control of Robotic Agents; International Semina Michael Beetz,Joachim Hertzberg,Martha E. Pollack Conference proceed

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https://doi.org/10.1007/978-3-642-48406-3 outline extensions of our plan representation language that allow for the explicit and transparent specification of learning problems within plans. This extended language enables robot controllers to employ learning subplans that can be reasoned about and manipulated.

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https://doi.org/10.1007/978-3-642-48406-3 systems. In this paper, we advocate for the need for a domain-independent framework to deal with the anchoring problem, and we report some initial steps in this direction. We illustrate our arguments and framework by showing experiments performed on a real mobile robot.

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Christine Preston,Jennifer Way,Eleni Smyrnisxt dependent and uncertain, and the resulting plans may contain conditional branches. When these plans are executed by the control system, they are transformed into B-plans which essentially are combinations of fuzzy behaviors to be executed in different contexts.

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Conference proceedings 2002m demonstrations. In NASA’s Deep Space program, for example, an - tonomous spacecraft controller, called the Remote Agent [5], has autonomously performed a scienti?c experiment in space. At Carnegie Mellon University, Xavier [6], another autonomous mobile robot, navigated through an o?ce - vironment

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https://doi.org/10.1007/978-3-642-48406-3oids some difficulties of layered hybrid architectures. It allows for real time adaptations to new situations even on the higher levels. It implements concepts of bounded rationality, and supports Case Based Reasoning methods.

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Laurie A. Schintler,Giacomo Galiazzod by the . of the information flow, extending the “classical” sense-model-plan-act principle. The paper stresses two architectural highlights of our approach: The implementation of the “Plan-as-Advice” principle to execute plan operators by the behavior-based part, and the grounding of the symbolic planner description via chronicle recognition.