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An Ontology-based Context-aware System for Smart Homes: E-care@home
TLDR
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. Expand
Grandpa Hates Robots - Interaction Constraints for Planning in Inhabited Environments
TLDR
An approach for automatically generating plans that are conformant wrt. Expand
Applicability of feature selection on multivariate time series data for robotic discovery
TLDR
It is found that even sophisticated representations and state of the art techniques, which perform very well on other benchmarks, do not show significant results in context of open ended discovery. Expand
Open-Source Data Collection and Data Sets for Activity Recognition in Smart Homes
TLDR
A collection of software modules for data collection, labeling, and various reasoning tasks such as activity recognition, person counting, and configuration planning, and a series of data sets that were collected using the E-care@home system. Expand
Culturally aware Planning and Execution of Robot Actions
TLDR
This paper deals with an important ingredient of cultural adaptation: how to generate robot plans that respect given cultural preferences, and how to execute them in a way that is sensitive to those preferences. Expand
Inferring Context and Goals for Online Human-Aware Planning
TLDR
This work uses an approach whereby human-awareness is enforced through so-called interaction constraints to infer context and appropriate goals online and modified at run time so as to achieve courses of action that are continuously human-aware. Expand
Constraint-based Methods for Human-aware Planning
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 canExpand
Context Recognition in Multiple Occupants Situations: Detecting the Number of Agents in a Smart Home Environment with Simple Sensors
Context-recognition and activity recognition systems in multi-user environments such as smart homes, usually assume to know the number of occupants in the environment. However, being able to count ...
Towards Habit Recognition in Smart Homes for People with Dementia
TLDR
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. Expand
Towards planning with very expressive languages via problem decomposition into multiple CSPs
TLDR
This paper provides a solver for this language based on problem decomposition that uses constraint satisfaction problems (CSPs) as a common ground and argues that the usage of more expressive languages can speed up the planning process as well. Expand
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