| 1. |
- Ahmed, Mobyen Uddin, 1976-, et al.
(författare)
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Run-Time Assurance for the E-care@home System
- 2018
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Ingår i: Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 225). - Cham : Springer International Publishing. - 9783319762128 - 9783319762135 ; , s. 107-110
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Konferensbidrag (refereegranskat)abstract
- This paper presents the design and implementation of the software for a run-time assurance infrastructure in the E-care@home system. An experimental evaluation is conducted to verify that the run-time assurance infrastructure is functioning correctly, and to enable detecting performance degradation in experimental IoT network deployments within the context of E-care@home. © 2018, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.
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| 2. |
- Alirezaie, Marjan, 1980-, et al.
(författare)
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An ontology-based context-aware system for smart homes : E-care@home
- 2017
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Ingår i: Sensors. - Basel : MDPI AG. - 1424-8220. ; 17:7
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Tidskriftsartikel (refereegranskat)abstract
- Smart home environments have a significant potential to provide for long-term monitoring of users with special needs in order to promote the possibility to age at home. Such environments are typically equipped with a number of heterogeneous sensors that monitor both health and environmental parameters. This paper presents a framework called E-care@home, consisting of an IoT infrastructure, which provides information with an unambiguous, shared meaning across IoT devices, end-users, relatives, health and care professionals and organizations. We focus on integrating measurements gathered from heterogeneous sources by using ontologies in order to enable semantic interpretation of events and context awareness. Activities are deduced using an incremental answer set solver for stream reasoning. The paper demonstrates the proposed framework using an instantiation of a smart environment that is able to perform context recognition based on the activities and the events occurring in the home.
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| 3. |
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| 4. |
- Chimamiwa, Gibson, 1977-, et al.
(författare)
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Towards Habit Recognition in Smart Homes for People with Dementia
- 2019
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Ingår i: Ambient Intelligence. - Cham : Springer Nature. - 9783030342548 - 9783030342555 ; , s. 363-369
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Konferensbidrag (refereegranskat)abstract
- The demand for smart home technologies that enable ageingin place is rising. Through activity recognition, users’ activities can be monitored. However, for dementia patients, activity recognition alone cannot address the challenges associated with changes in the user’s habits along the disease’s stage transitions. Extending activity recognition to habit recognition enables the capturing of patients’ habits and change sin habits in order to detect anomalies. This paper aims to introduce relevant features for habit recognition solutions, extracted from data, in order to enrich the representation of the user’s habits. This solution is personalisable to meet the specific needs of the patients and generalizable for use in different scenarios. In this way caregivers are better informed on the expected changes of the patient’s habits, which can help to mitigate further deterioration through early treatment and intervention.
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| 5. |
- Khaliq, Ali Abdul, 1987-, et al.
(författare)
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Culturally aware Planning and Execution of Robot Actions
- 2018
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Ingår i: 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). - : IEEE. - 9781538680940 - 9781538680957 ; , s. 326-332
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Konferensbidrag (refereegranskat)abstract
- The way in which humans behave, speak andinteract is deeply influenced by their culture. For example,greeting is done differently in France, in Sweden or in Japan;and the average interpersonal distance changes from onecultural group to the other. In order to successfully coexistwith humans, robots should also adapt their behavior to theculture, customs and manners of the persons they interact with.In this paper, we deal with an important ingredient of culturaladaptation: how to generate robot plans that respect givencultural preferences, and how to execute them in a way thatis sensitive to those preferences. We present initial results inthis direction in the context of the CARESSES project, a jointEU-Japan effort to build culturally competent assistive robots.
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| 6. |
- Köckemann, Uwe, 1983-, et al.
(författare)
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Configuration Planning with Temporal Constraints
- 2017
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Ingår i: Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI-17). - : AAAI Press.
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Konferensbidrag (refereegranskat)abstract
- Configuration planning is a branch of task planning that takes into consideration both causal and information dependencies and goals.This type of planning is interesting, for instance, in smart home environmentswhich contain various sensors and robots to provide services to the inhabitants.Requests for information, for instance from an activity recognition system, should cause the smart home to configure itselfin such a way that all requested information will be providedwhen it is needed.This paper addresses temporal configuration planning in which information availability and goals are linked to temporalintervals which are subject to constrains.We propose and compare two approaches based on constraint-based planning. The first approach models information via conditions andeffects of planning operators and essentially reduces configuration planningto constraint-based temporal planning. The second approach solves information dependencies separatelyfrom task planning and optimizes the cost of reaching individual information goals.We compare these approaches in terms of thetime it takes to solve problems and the quality of the solutions they provide.
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| 7. |
- Köckemann, Uwe, 1983-
(författare)
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Constraint-based Methods for Human-aware Planning
- 2016
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Doktorsavhandling (övrigt vetenskapligt/konstnärligt)abstract
- As more robots and sensors are deployed in work and home environments, there is a growing need for these devices to act with some degree of autonomy to fulfill their purpose. Automated planning can be used to synthesize plans of action that achieve this. The main challenge addressed in this thesis is to consider how the automated planning problem changes when considered in the context of environments that are populated by humans. Humans have their own plans, and automatically generated plans should not interfere with these. We refer to this as social acceptability. Opportunities for proactive behavior often arise during execution. The planner should be able to identify these opportunities and proactively plan accordingly. Both social acceptability and proactivity require the planner to identify relevant situations from available information. We refer to this capability as context-awareness, and it may require complex inferences based on observed human activities. Finally, planning may have to consider cooperation with humans to reach common goals or to enable robots and humans to support one another.This thesis analyzes the requirements that emerge from human-aware planning — what it takes to make automated planning socially acceptable, proactive, context aware, and to make it support cooperation with humans. We formally state the human-aware planning problem, and propose a planning and execution framework for human-aware planning that is based on constraint reasoning and flaw-resolution techniques, and which fulfills the identified requirements. This approach is modular and extendable: new types of constraints can be added and solvers can be exchanged and re-arranged. This allows us to address the identified requirements for humanaware planning. In particular, we introduce Interaction Constraints (ICs) for this purpose, and propose patterns of Ics for social acceptability, proactivity, and contextawareness. We also consider cooperative plans in which certain actions are assigned to humans and the implications that this has. We evaluate the proposed methods and patterns on a series of use cases, as well as a variety of domains including a real-world robotic system. We evaluate the proposed methods and patterns on a series of use cases, as well as a variety of domains including a real-world robotic system. introduce Interaction Constraints (ICs) for this purpose, and propose patterns of ICs for social acceptability, proactivity, and context-awareness. We also consider cooperative plans in which certain actions are assigned to humans and the implications that this has. We evaluate the proposed methods and patterns on a series of use cases, as well as a variety of domains including a real-world robotic system.
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| 8. |
- Köckemann, Uwe, 1983-, et al.
(författare)
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Domain Reasoning for Robot Task Planning : A Position Paper
- 2018
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Ingår i: PlanRob 2018. - : ICAPS. ; , s. 102-105
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Konferensbidrag (refereegranskat)abstract
- In this position paper we argue for moving towards generalpurpose domains to promote the usage of task planning forreal-world robot systems. Planning approaches should extractconcrete domains based on their current context in order tosolve problems. Towards this aim, we define the problem ofdomain reasoning, by which a planning domain is obtainedfrom a more general, multi-purpose domain definition, giventhe current deployment and context of the robot system. Weprovide examples motivating the need for domain reasoningin robot task planning, as well as a discussion of potentialsolutions to the domain reasoning problem.
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| 9. |
- Köckemann, Uwe, 1983-, et al.
(författare)
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Expressive Planning Through Constraints
- 2013
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Ingår i: Twelfth Scandinavian Conference on Artificial Intelligence. - : IOS Press. - 9781614993292 - 9781614993308 ; , s. 155-164
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Konferensbidrag (refereegranskat)abstract
- The real-world applicability of automated planners depends on the expressiveness of the problem modeling language. Contemporary planners can deal with causal features of the problem, but only limited forms of temporal, resource and relational constraints. These constraints should be fully supported for dealing with real-world applications. We propose a highly-expressive, action-based planning language which includes causal, relational, temporal and resource constraints. This paper also contributes an approach for solving such rich planning problems by decomposition and constraint reasoning. The approach is general with respect to the types of constraints used in the problem definition language, in that additional solvers need only satisfy certain formal properties. The approach is evaluated on a domain which utilizes many features offered by the introduced language.
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| 10. |
- Köckemann, Uwe, 1983-, et al.
(författare)
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Grandpa Hates Robots - Interaction Constraints for Planning in Inhabited Environments
- 2014
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Ingår i: Proceedings of the 28th National Conference on Artifical Intelligence (AAAI 2014). - : AAAI Press. ; , s. 2293-2299
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Konferensbidrag (refereegranskat)abstract
- Consider a family whose home is equipped with several service robots. The actions planned for the robots must adhere to {\em Interaction Constraints (ICs)} relating them to human activities and preferences. These constraints must be sufficiently expressive to model both temporal and logical dependencies among robot actions and human behavior, and must accommodate incomplete information regarding human activities. In this paper we introduce an approach for automatically generating plans that are conformant wrt.~given ICs and partially specified human activities. The approach allows to separate causal reasoning about actions from reasoning about \ICs, and we illustrate the computational advantage this brings with experiments on a large-scale (semi-)realistic household domain with hundreds of human activities and several robots.
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