EDBT 2026 Demo / reviewers in the wild / expert
Gregory Tracy
dblp:151/9713
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2014
0000-0003-4848-9186ORCID · reported
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 |
Robot manipulation · 67% Language models and text generation · 33% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Robot manipulation
mobile manipulation |
0.2 | 1 | 2014 | Robots using environment objects as tools the 'MacGyver' paradigm for mobile manipulation · ICRA 2014 |
Robotics › Robot manipulation
tool generation |
0.2 | 1 | 2014 | Robots using environment objects as tools the 'MacGyver' paradigm for mobile manipulation · ICRA 2014 |
Natural language and speech › Language models and text generation › LLM agents
tool use |
0.2 | 1 | 2014 | Robots using environment objects as tools the 'MacGyver' paradigm for mobile manipulation · ICRA 2014 |
Methods — techniques the papers use, named apart from their topics
simulation · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2014 | Robots using environment objects as tools the 'MacGyver' paradigm for mobile manipulationabstractMobile manipulators and humanoid robots should have the ability to use objects in their environments. Previous work has shown significant advantages to robots that can remove objects that interfere with their goal. We propose the next step. Just like the fictional character ‘MacGyver,’ robots should construct simple machines and tools from arbitrary objects. This video presents our progress in developing and validating ‘MacGyver’ skills in a simulated rescue mission. Mike Stilman, Munzir Zafar, Can Erdogan, Saul Reynolds-Haertle, Gregory Tracy |
ICRA | 6 |