Demo Data from SIGIR 2026 / reviewers in the wild / expert
J. Charles Sullivan
dblp:131/9531
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Robot navigation and mapping
SLAM |
0.2 | 1 | 2013 | 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 |
0.2 | 1 | 2013 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2013 | Simultaneous localisation and mapping on a multi-degree of freedom biomimetic whiskered robotabstractA 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 |
ICRA | 3 |