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Monitoring and Managing Interaction Patterns in Human-Robot Interaction

Martí Carrillo, Felip LU (2015) In LU-CS-EX 2015-37 EDA920 20151
Department 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:
author
Martí Carrillo, Felip LU
supervisor
organization
course
EDA920 20151
year
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}},
}