Demo Data from EDBT 2026 / reviewers in the wild / expert
Randall Bish
dblp:52/5876
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2004
—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 · 50% Robot navigation and mapping · 50% |
Topics — the 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Robot navigation and mapping › target tracking
robot tracking |
0.0 | 1 | 2004 | Development of Autonomous Robotics Technology for the Study of Rat Pups · ICRA 2004 |
Methods — techniques the papers use, named apart from their topics
sensorimotor rules · 0.0dynamic simulation · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2004 | Development of Autonomous Robotics Technology for the Study of Rat PupsabstractWe describe technology and tools being created for a series of biorobotics studies of Norway rat pups. These studies aim to inform both animal behavior and autonomous robotics. For biology, the crucial idea is that by simulating animal behavior by instantiating actual sensorimotor rules, the specifics for how this behavior was achieved represents a new neurobehavioral/neuroethological theory on how the biological system itself achieves its behavior. For robotics, studying infant mammals enables the study of development of sensorimotor rules from the simple to the complex. Our studies are unique in that animal, simulation, and robot studies occur in parallel and inform each other. Our initial goal is to develop scientific methods to approach the problem and robotics technology that can instantiate the methods. Towards that goal, we describe our dynamic simulation models, our robotic rat pups, our robot tracking algorithms, and our data analysis techniques. Sanjay S. Joshi, Jeffrey C. Schank, Nicolas Giannini, Lisa Hargreaves, Randall Bish |
ICRA | 5 |