Demo Data from EDBT 2026 / reviewers in the wild / expert
Handy Wicaksono
dblp:122/2126
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2017
0000-0002-3763-9065ORCID · verified
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 first-authorGraphics, computer vision, multimedia, augmented reality and games · 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 · 50% Language models and text generation · 50% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Robot manipulation
tool generation |
0.3 | 1 | 2017 | Towards A Relational Approach For Tool Creation By Robots · IJCAI 2017 |
Natural language and speech › Language models and text generation › LLM agents
tool learning |
0.3 | 1 | 2017 | Towards A Relational Approach For Tool Creation By Robots · IJCAI 2017 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2017 | Towards A Relational Approach For Tool Creation By RobotsabstractLike a human, a robot may benefit from being able to use a tool to solve a complex task. When an appropriate tool is not available, a very useful ability for a robot would be to create a novel one based on its past experience. With the advent of inexpensive 3D printing, it is now possible to give robots such an ability, at least to create simple tools. We propose a method for learning how to use an object as a tool and, if needed, to design and construct a new tool. Handy Wicaksono |
IJCAI | 1 |