| 1. |
- Bruno, Barbara, et al.
(författare)
-
A framework for Culture-aware Robots based on Fuzzy Logic
- 2017
-
Ingår i: 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). - : Institute of Electrical and Electronics Engineers (IEEE). - 9781509060344 - 9781509060351
-
Konferensbidrag (refereegranskat)abstract
- Cultural adaptation, i.e., the matching of a robot's behaviours to the cultural norms and preferences of its user, is a well known key requirement for the success of any assistive application. However, culture-dependent robot behaviours are often implicitly set by designers, thus not allowing for an easy and automatic adaptation to different cultures. This paper presents a method for the design of culture-aware robots, that can automatically adapt their behaviour to conform to a given culture. We propose a mapping from cultural factors to related parameters of robot behaviours which relies on linguistic variables to encode heterogeneous cultural factors in a uniform formalism, and on fuzzy rules to encode qualitative relations among multiple variables. We illustrate the approach in two practical case studies.
|
|
| 2. |
- Bruno, Barbara, et al.
(författare)
-
Knowledge Representation for Culturally Competent Personal Robots : Requirements, Design Principles, Implementation, and Assessment
- 2019
-
Ingår i: International Journal of Social Robotics. - : Springer. - 1875-4791 .- 1875-4805. ; 11:3, s. 515-538
-
Tidskriftsartikel (refereegranskat)abstract
- Culture, intended as the set of beliefs, values, ideas, language, norms and customs which compose a person's life, is an essential element to know by any robot for personal assistance. Culture, intended as that person's background, can be an invaluable source of information to drive and speed up the process of discovering and adapting to the person's habits, preferences and needs. This article discusses the requirements posed by cultural competence on the knowledge management system of a robot. We propose a framework for cultural knowledge representation that relies on (i) a three-layer ontology for storing concepts of relevance, culture-specific information and statistics, person-specific information and preferences; (ii) an algorithm for the acquisition of person-specific knowledge, which uses culture-specific knowledge to drive the search; (iii) a Bayesian Network for speeding up the adaptation to the person by propagating the effects of acquiring one specific information onto interconnected concepts. We have conducted a preliminary evaluation of the framework involving 159 Italian and German volunteers and considering 122 among habits, attitudes and social norms.
|
|
| 3. |
- Bruno, Barbara, et al.
(författare)
-
Multi-modal sensing for human activity recognition
- 2015
-
Ingår i: Proceedings of the 24th IEEE International Symposium on Robot and Human Interactive Communication, Kobe, Japan, Aug 31 - Sept 4, 2015. - New York : IEEE conference proceedings. - 9781467367042 ; , s. 594-600
-
Konferensbidrag (refereegranskat)abstract
- Robots for the elderly are a particular category of home assistive robots, aiming at assisting the elderly inthe execution of daily life tasks to extend their independent life. To this aim, such robots should be able to determine the level of independence of the user and track its evolution over time, to adapt the assistance to the person capabilities and needs. Human Activity Recognition systems employ various sensing strategies, relying on environmental or wearable sensors,to recognize various daily life activities which provide insights on the health status of a person. The main contribution of the article is the design of an heterogeneous information management framework, allowing for the description of a wide variety of human activities in terms of multi-modal environmental and wearable sensing data and providing accurate knowledge about the user activity to any assistive robot.
|
|
| 4. |
- Bruno, Barbara, et al.
(författare)
-
Using fuzzy logic to enhance classification of human motion primitives
- 2014
-
Ingår i: Information processing and management of uncertainty in knowledge-based systems, PT II. - Cham : Springer. - 9783319088549 - 9783319088556 ; , s. 596-605
-
Konferensbidrag (refereegranskat)abstract
- The design of automated systems for the recognition of specific human activities is among the most promising research activities in Ambient Intelligence. The literature suggests the adoption of wearable devices, relying on acceleration information to model the activities of interest and distance metrics for the comparison of such models with the run-time data. Most current solutions do not explicitly model the uncertainty associated with the recognition, but rely on crisp thresholds and comparisons which introduce brittleness and inaccuracy in the system. We propose a framework for the recognition of simple activities in which recognition uncertainty is modelled using possibility distributions. We show that reasoning about this explicitly modelled uncertainty leads to a system with enhanced recognition accuracy and precision.
|
|
