| 1. |
- Bouguerra, Abdelbaki, et al.
(författare)
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Situation assessment for sensor-based recovery planning
- 2006
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Ingår i: 17th European Conference on Artificial Intelligence (ECAI). - : IOS Press. - 1586036424 ; , s. 673-677
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Konferensbidrag (refereegranskat)abstract
- We present an approach for recovery from perceptual failures, or more precisely anchoring failures. Anchoring is the problem of connecting symbols representing objects to sensor data corresponding to the same objects. The approach is based on using planning, but our focus is not on the plan generation per se. We focus on the very important aspect of situation assessment and how it is carried out for recovering from anchoring failures. The proposed approach uses background knowledge to create hypotheses about world states and handles uncertainty in terms of probabilistic belief states. This work is relevant both from the perspective of developing the anchoring framework, and as a study in plan-based recovery from epistemic failures in mobile robots. Experiments on a mobile robot are shown to validate the applicability of the proposed approach.
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| 2. |
- Guarino, Donatella, et al.
(författare)
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On interfacing with an ubiquitous robotic system
- 2006
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Ingår i: 17th European Conference on Artificial Intelligence (ECAI). - : IOS Press. - 1586036424 ; , s. 857-858
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Konferensbidrag (refereegranskat)abstract
- The emerging field of ubiquitous robotics presents new challenges for human-robot interface. In this note, we introduce the concept of a common interface point using an expression-based semantics as a way to address some of these challenges. We illustrate this concept in the framework of the PEIS-Ecology approach to ubiquitous robotics.
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| 3. |
- Lundh, Robert, et al.
(författare)
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Plan-based configuration of a group of robots
- 2006
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Ingår i: 17th European Conference on Artificial Intelligence (ECAI). - : IOS Press. - 1586036424 ; , s. 683-692
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Konferensbidrag (refereegranskat)abstract
- We consider groups of autonomous robots in which robots can help each other by offering information-producing functionalities. A functional configuration} is a way to allocate and connect functionalities among robots. In general, different configurations can be used to solve the same task, depending on the current situation. In this paper, we define the idea of functional configuration, and we propose a plan-based approach to automatically generate a preferred configuration for a given task, environment, and set of resources. To illustrate these ideas, we show a simple experiment in which two robots mutually help each-other to cross a door.
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