Attention-path planning based on adaptive submodular optimization

Hosun Lee, Sungmoon Jeong, Tokuichi Nakashima, Geunho Lee, Nak Young Chong

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

Abstract

This paper proposes a new attention-path planning algorithm that allows robots with limited sensing coverage to identify an unknown entity efficiently. Our focus is placed on how to plan optimal sequences of views to access more useful information needed to understand the entity. The adaptive submodular optimization technique guaranteed to achieve near-optimal performance is used to maximize the expected information gain. We verified the validity of the proposed approach to the face recognition problem through preliminary experiments.

Original languageEnglish
Title of host publication22nd IEEE International Symposium on Robot and Human Interactive Communication
Subtitle of host publication"Living Together, Enjoying Together, and Working Together with Robots!", IEEE RO-MAN 2013
Pages304-305
Number of pages2
DOIs
StatePublished - 2013
Event22nd IEEE International Symposium on Robot and Human Interactive Communication: "Living Together, Enjoying Together, and Working Together with Robots!", IEEE RO-MAN 2013 - Gyeongju, Korea, Republic of
Duration: 26 Aug 201329 Aug 2013

Publication series

NameProceedings - IEEE International Workshop on Robot and Human Interactive Communication

Conference

Conference22nd IEEE International Symposium on Robot and Human Interactive Communication: "Living Together, Enjoying Together, and Working Together with Robots!", IEEE RO-MAN 2013
Country/TerritoryKorea, Republic of
CityGyeongju
Period26/08/1329/08/13

Fingerprint

Dive into the research topics of 'Attention-path planning based on adaptive submodular optimization'. Together they form a unique fingerprint.

Cite this