Demo Data from SIGIR 2026 / reviewers in the wild / expert
Neil Rugg-Gunn
dblp:54/1385
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 1994
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 first-authorSystems, architecture and hardware · 1 · 1 first-author
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 |
Motion planning and robot control · 67% Autonomous driving · 33% | |
| Theoretical computer science
1 paper |
Logic in computer science · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Autonomous driving
multi-vehicle coordination |
0.0 | 1 | 1994 | A Formal Semantics for Multiple Vehicle Task and Motion Planning · ICRA 1994 |
Robotics › Motion planning and robot control
path planning |
0.0 | 1 | 1994 | A Formal Semantics for Multiple Vehicle Task and Motion Planning · ICRA 1994 |
Robotics › Motion planning and robot control
task and motion planning |
0.0 | 1 | 1994 | A Formal Semantics for Multiple Vehicle Task and Motion Planning · ICRA 1994 |
Logic in computer science › semantics
denotational semantics |
0.0 | 1 | 1994 | A Formal Semantics for Multiple Vehicle Task and Motion Planning · ICRA 1994 |
Methods — techniques the papers use, named apart from their topics
timed traces · 0.0denotational semantics · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1994 | A Formal Semantics for Multiple Vehicle Task and Motion PlanningabstractThe application of autonomous guided vehicles to well-structured industrial sites requires considerably more than a path planning algorithm onboard each vehicle. Issues such as task planning, vehicle routing and vehicle-vehicle interactions predominate in determining the overall system ability. We exhibit a mathematical model of a multiple vehicle system, which has similarities to the Timed Traces models developed to reason about parallel processes. A denotational semantics is derived from this model, ascribing meaning to a simple language of service operations and concurrent path planning. This semantics captures a complete description of vehicles' behaviour, which can provide a global planning strategy guaranteeing both satisfiability and liveness.> Neil Rugg-Gunn, Stephen Cameron |
ICRA | 1 |