EDBT 2026 Demo / reviewers in the wild / expert
Mmichael Licitra
dblp:06/2147
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2008
—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 |
Multi-agent systems · 65% Reinforcement learning · 22% Motion planning and robot control · 6% |
Topics — the 6 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Reinforcement learning
action selection |
0.1 | 1 | 2008 | CMDragons: Dynamic passing and strategy on a champion robot soccer team · ICRA 2008 |
Knowledge, reasoning and agents › Multi-agent systems
multi-robot coordination |
0.1 | 1 | 2008 | CMDragons: Dynamic passing and strategy on a champion robot soccer team · ICRA 2008 |
Knowledge, reasoning and agents › Multi-agent systems › multi-robot systems
multi-robot team |
0.1 | 1 | 2008 | CMDragons: Dynamic passing and strategy on a champion robot soccer team · ICRA 2008 |
Knowledge, reasoning and agents › Multi-agent systems › multi-robot systems
robot soccer |
0.1 | 1 | 2008 | CMDragons: Dynamic passing and strategy on a champion robot soccer team · ICRA 2008 |
Robotics › Robot navigation and mapping › mobile robot navigation
real-time navigation |
0.0 | 1 | 2008 | CMDragons: Dynamic passing and strategy on a champion robot soccer team · ICRA 2008 |
Robotics › Motion planning and robot control
robot control |
0.0 | 1 | 2008 | CMDragons: Dynamic passing and strategy on a champion robot soccer team · ICRA 2008 |
Methods — techniques the papers use, named apart from their topics
layered decision-making architecture · 0.1centralized perception · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2008 | CMDragons: Dynamic passing and strategy on a champion robot soccer teamabstractAfter several years of developing multiple RoboCup small-size robot soccer teams, our CMDragons robot team achieved a highly successful level of performance, winning both the 2006 and 2007 competitions without losing a single game. Our small-size team consists of five executing wheeled robots with centralized, off-board perception and decision making. The decision making framework consists of a set of layered components, consisting of perception, evaluation and strategy, robot tactics and skills, and real-time navigation. In this paper, we present the strategy, action selection, and execution aspects of our architecture, with a focus on passing as an example of effective coordinated teamwork. The design enabled our robot team to score using multiple methods, from direct shooting up to 3D passes deflected in midair, resulting in a rich set of actions that were difficult for adversaries to counter. We provide several performance quantified claims supported by testing in our laboratory and in competition settings. James Bruce, Stefan Zickler, Mmichael Licitra, Manuela M. Veloso |
ICRA | 3 |