Monitoring and Managing Interaction Patterns in Human-Robot Interaction
(2015) In LU-CS-EX 2015-37 EDA920 20151Department of Computer Science
- Abstract
- Nowadays, one of the most challenging problems in Human-Robot Interaction (HRI) is to make robots able to understand humans to successfully accomplish tasks in human environments. HRI has a very different role in all the robotics fields. While autonomous robots do not require a complex HRI system, it is of vital importance for service robots.
The goal of this thesis is to study if behavioural patterns that users unconsciously apply when interacting with a robot can be useful to recognise the users' intentions in a particular situation.
To carry out this study a prototype has been developed to test in an automatic and objective way, if those interaction patterns performed by several users in the area of service robots are useful to... (More) - Nowadays, one of the most challenging problems in Human-Robot Interaction (HRI) is to make robots able to understand humans to successfully accomplish tasks in human environments. HRI has a very different role in all the robotics fields. While autonomous robots do not require a complex HRI system, it is of vital importance for service robots.
The goal of this thesis is to study if behavioural patterns that users unconsciously apply when interacting with a robot can be useful to recognise the users' intentions in a particular situation.
To carry out this study a prototype has been developed to test in an automatic and objective way, if those interaction patterns performed by several users in the area of service robots are useful to recognise their intentions and disambiguate unclear situations. (Less) - Popular Abstract
- By using verbal and non-verbal communication that the user unconsciously applies when interacting with a robot, we want to determine automatically what the user is trying to present.
Please use this url to cite or link to this publication:
http://lup.lub.lu.se/student-papers/record/7861160
- author
- Martí Carrillo, Felip LU
- supervisor
- organization
- course
- EDA920 20151
- year
- 2015
- type
- H3 - Professional qualifications (4 Years - )
- subject
- keywords
- Bayesian Network, ROS, Robot learning, Service robots, Interaction Patterns, Human-Robot Interaction
- publication/series
- LU-CS-EX 2015-37
- report number
- LU-CS-EX 2015-37
- ISSN
- 1650-2884
- language
- English
- id
- 7861160
- date added to LUP
- 2015-09-09 08:05:10
- date last changed
- 2015-09-09 08:05:10
@misc{7861160, abstract = {{Nowadays, one of the most challenging problems in Human-Robot Interaction (HRI) is to make robots able to understand humans to successfully accomplish tasks in human environments. HRI has a very different role in all the robotics fields. While autonomous robots do not require a complex HRI system, it is of vital importance for service robots. The goal of this thesis is to study if behavioural patterns that users unconsciously apply when interacting with a robot can be useful to recognise the users' intentions in a particular situation. To carry out this study a prototype has been developed to test in an automatic and objective way, if those interaction patterns performed by several users in the area of service robots are useful to recognise their intentions and disambiguate unclear situations.}}, author = {{Martí Carrillo, Felip}}, issn = {{1650-2884}}, language = {{eng}}, note = {{Student Paper}}, series = {{LU-CS-EX 2015-37}}, title = {{Monitoring and Managing Interaction Patterns in Human-Robot Interaction}}, year = {{2015}}, }