Adaptive attitude design with risk-sensitive optimal feedback control in physical human-robot interaction

Masao Saida, Jose Ramon Medina, Sandra Hirche

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

Anticipatory behavior based on the human behavior prediction enables the robot to improve the quality of its assistance in physical human-robot interaction (pHRI). However, predictions are partly afflicted with high uncertainties originating from the intrinsic variability in human behavior and the influence of the environment, requiring an attitude negotiation among partners. In this paper, we propose a novel control approach that dynamically adapts the robot's attitude to the disagreement level and the environmental situation in real time facilitating the negotiation between the human and the robot. The approach is based on risk-sensitive optimal feedback control. The adaptive design of the robot's attitude is realized through a dynamical changing risk-sensitivity parameter. The proposed approach is experimentally validated in a cooperative transport scenario in a two-dimensional visuo-haptic virtual environment.

Original languageEnglish
Title of host publication2012 IEEE RO-MAN
Subtitle of host publicationThe 21st IEEE International Symposium on Robot and Human Interactive Communication
Pages955-961
Number of pages7
DOIs
StatePublished - 2012
Event2012 21st IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2012 - Paris, France
Duration: 9 Sep 201213 Sep 2012

Publication series

NameProceedings - IEEE International Workshop on Robot and Human Interactive Communication

Conference

Conference2012 21st IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2012
Country/TerritoryFrance
CityParis
Period9/09/1213/09/12

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