Demo Data from EDBT 2026 / reviewers in the wild / expert
David Darras
dblp:126/2652
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1997
—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 |
Motion planning and robot control · 100% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Motion planning and robot control
robot control |
0.0 | 1 | 1997 | A sensor-based automation system for handling nuclear materials · ICRA 1997 |
Robotics › Motion planning and robot control › robot control
sensor-based control |
0.0 | 1 | 1997 | A sensor-based automation system for handling nuclear materials · ICRA 1997 |
Methods — techniques the papers use, named apart from their topics
machine vision · 0.0force/torque sensing · 0.0failure modes and effects analysis · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1997 | A sensor-based automation system for handling nuclear materialsabstractAn automated system is being developed for handling large payloads of radioactive nuclear materials in an analytical laboratory. The automation system performs unpacking and repacking of payloads from shipping and storage containers, and delivery of the payloads to the stations in the laboratory. The system uses machine vision and force/torque sensing to provide sensor-based control of the automation system in order to enhance system safety, flexibility, and robustness, and achieve easy remote operation. The automation system also controls the operation of the laboratory measurement systems and the coordination of them with the robotic system. Particular attention has been given to system design features and analytical methods that provide an enhanced level of operational safety. Independent mechanical gripper interlock and tool release mechanisms were designed to prevent payload mishandling. An extensive failure modes and effects analysis of the automation system was developed as a safety design analysis tool. William Drotning, Howard Kimberly, Walter Wapman, David Darras, Dan Homan, Brian Kast, Joel Kuhlmann, R. Charleene Lennox, Carla Montoya |
ICRA | 4 |