Demo Data from EDBT 2026 / reviewers in the wild / expert
Anthony Pratkanis
dblp:135/8265
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2013
—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 |
Robot manipulation · 64% Robot navigation and mapping · 28% Motion planning and robot control · 8% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Robot manipulation
mobile manipulation |
0.2 | 1 | 2013 | Replacing the office intern: An autonomous coffee run with a mobile manipulator · ICRA 2013 |
Robotics › Robot navigation and mapping
mobile robot navigation |
0.2 | 1 | 2013 | Replacing the office intern: An autonomous coffee run with a mobile manipulator · ICRA 2013 |
Robotics › Robot manipulation › physical human-robot interaction
object handover |
0.2 | 1 | 2013 | Replacing the office intern: An autonomous coffee run with a mobile manipulator · ICRA 2013 |
Robotics › Robot manipulation › mobile manipulation
door opening |
0.0 | 1 | 2013 | Replacing the office intern: An autonomous coffee run with a mobile manipulator · ICRA 2013 |
Robotics › Motion planning and robot control
robot control |
0.0 | 1 | 2013 | Replacing the office intern: An autonomous coffee run with a mobile manipulator · ICRA 2013 |
Methods — techniques the papers use, named apart from their topics
object detection · 0.22d navigation maps · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2013 | Replacing the office intern: An autonomous coffee run with a mobile manipulatorabstractWe describe our development of an autonomous robotic system that safely navigates through an unmodified campus environment to purchase and deliver a cup of coffee. To accomplish this task, the robot navigates through indoor and outdoor environments, opens heavy spring-loaded doors, calls, enters, and exits an elevator, waits in line with other customers, interacts with coffee shop employees to purchase beverages, and returns to its original location to deliver the beverages. This paper makes four contributions: a robust infrastructure for unifying multiple 2D navigation maps; a process for detecting and opening transparent, heavy spring-loaded doors; algorithms for operating elevators; and software that enables the intuitive passing of objects to and from untrained humans. Anthony Pratkanis, Adam Leeper, John Kenneth Salisbury Jr. |
ICRA | 1 |