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J. Charles Sullivan

dblp:131/9531 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2013
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Robot navigation and mapping · 100%

Topics — the 2 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Robot navigation and mapping
SLAM
0.212013
Simultaneous localisation and mapping on a multi-degree of freedom biomimetic whiskered robot · ICRA 2013
Robotics › Robot navigation and mapping › SLAM › non-visual SLAM
tactile SLAM
0.212013
Simultaneous localisation and mapping on a multi-degree of freedom biomimetic whiskered robot · ICRA 2013

Methods — techniques the papers use, named apart from their topics

tactile sensing · 0.2probabilistic occupancy grid · 0.2
YearPublicationVenuePosition
2013 Simultaneous localisation and mapping on a multi-degree of freedom biomimetic whiskered robot
abstract
A biomimetic mobile robot called “Shrewbot” has been built as part of a neuroethological study of the mammalian facial whisker sensory system. This platform has been used to further evaluate the problem space of whisker based tactile Simultaneous Localisation And Mapping (tSLAM). Shrewbot uses a biomorphic 3-dimensional array of active whiskers and a model of action selection based on tactile sensory attention to explore a circular walled arena sparsely populated with simple geometric shapes. Datasets taken during this exploration have been used to parameterise an approach to localisation and mapping based on probabilistic occupancy grids. We present the results of this work and conclude that simultaneous localisation and mapping is possible given only noisy odometry and tactile information from a 3-dimensional array of active biomimetic whiskers and no prior information of features in the environment.
Martin J. Pearson, Charles W. Fox, J. Charles Sullivan, Tony J. Prescott, Anthony G. Pipe, Benjamin Mitchinson
ICRA3