Demo Data from SIGIR 2026 / reviewers in the wild / expert
Tim Danner
dblp:03/2798
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2000
—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 · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Motion planning and robot control › motion planning › mobile robot motion planning
inspection path planning |
0.0 | 1 | 2000 | Randomized Planning for Short Inspection Paths · ICRA 2000 |
Robotics › Motion planning and robot control
motion planning |
0.0 | 1 | 2000 | Randomized Planning for Short Inspection Paths · ICRA 2000 |
Robotics › Motion planning and robot control › motion planning › geometric motion planning
visibility-based planning |
0.0 | 1 | 2000 | Randomized Planning for Short Inspection Paths · ICRA 2000 |
Methods — techniques the papers use, named apart from their topics
randomized planning · 0.0art gallery problem · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2000 | Randomized Planning for Short Inspection PathsabstractAddresses the following inspection problem: given a known workspace and a robot with vision capabilities compute a short path path for the robot such that each point on boundary of the workspace is visible from some point on the path. Autonomous inspection, such as by a flying camera, or a virtual reality architectural walkthrough, could be guided by a solution to the above inspection problem. Visibility constraints on both maximum viewing distance and maximum angle of incidence are considered to better model real sensors. An algorithm is presented for planar workspaces which operates in two steps: selecting art gallery-style guards and connecting them to form an inspection path. Experimental results for this algorithm are discussed. Next, the algorithm is extended to three dimensions and inspection paths are shown. Tim Danner, Lydia E. Kavraki |
ICRA | 1 |