Demo Data from EDBT 2026 / reviewers in the wild / expert
Brian R. Tietz
dblp:117/2079
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2012
—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 |
Legged, aerial and field robots · 33% Robot navigation and mapping · 33% Optimization for machine learning · 33% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Legged, aerial and field robots
field robotics |
0.1 | 1 | 2012 | A stochastic algorithm for explorative goal seeking extracted from cockroach walking data · ICRA 2012 |
Robotics › Robot navigation and mapping › mobile robot navigation
goal seeking |
0.1 | 1 | 2012 | A stochastic algorithm for explorative goal seeking extracted from cockroach walking data · ICRA 2012 |
Machine learning › Optimization for machine learning
stochastic search |
0.1 | 1 | 2012 | A stochastic algorithm for explorative goal seeking extracted from cockroach walking data · ICRA 2012 |
Methods — techniques the papers use, named apart from their topics
statistical trend analysis · 0.1mobile robot implementation · 0.1behavioral modeling · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2012 | A stochastic algorithm for explorative goal seeking extracted from cockroach walking dataabstractCockroach shelter-seeking strategy may look like an undirected random search, but we show that they are attracted to darkened shelters, arriving at a shelter in about half the time it would otherwise take. We were able to identify four statistically significant trends from the behavior of 134 cockroaches in one-minute naïve walking trials with four different arena configurations. By combining these trends into a model, we arrive at an algorithm that significantly directs a simulated agent to a location. This algorithm was then adapted and tested on a small mobile robot equipped with an onboard camera and antenna-like contact sensors. Kathryn A. Daltorio, Brian R. Tietz, John A. Bender, Victoria A. Webster-Wood, Nicholas S. Szczecinski, Michael S. Branicky, Roy E. Ritzmann, Roger D. Quinn |
ICRA | 2 |