Demo Data from SIGIR 2026 / reviewers in the wild / expert
Colin McMillen
dblp:66/5892
· DBLP profile ↗
5ranked-venue papers
3as 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 · 5 · 3 first-authorSystems, architecture and hardware · 2Graphics, computer vision, multimedia, augmented reality and games · 2 · 2 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
4 papers |
Reinforcement learning · 36% Legged, aerial and field robots · 26% Planning, search and constraint satisfaction · 19% | |
| Theoretical computer science
1 paper |
Algorithmic game theory and mechanism design · 100% |
Topics — the 7 heaviest of 9, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Knowledge, reasoning and agents › Planning, search and constraint satisfaction › planning
finite horizon planning |
0.1 | 1 | 2008 | Unknown Rewards in Finite-Horizon Domains · AAAI 2008 |
Robotics › Legged, aerial and field robots
field robotics |
0.1 | 2 | 2003 | Heterogeneous implementation of an adaptive robotic sensing team · ICRA 2003 Mobility Enhancements to the Scout Robot Platform · ICRA 2002 |
Machine learning › Reinforcement learning
reward design |
0.1 | 1 | 2007 | Thresholded Rewards: Acting Optimally in Timed, Zero-Sum Games · AAAI 2007 |
Algorithmic game theory and mechanism design
zero-sum game |
0.1 | 1 | 2007 | Thresholded Rewards: Acting Optimally in Timed, Zero-Sum Games · AAAI 2007 |
Knowledge, reasoning and agents › Multi-agent systems › multi-robot systems
heterogeneous robot teams |
0.0 | 1 | 2003 | Heterogeneous implementation of an adaptive robotic sensing team · ICRA 2003 |
Robotics › Robot manipulation › robot design
robot platform design |
0.0 | 1 | 2003 | Heterogeneous implementation of an adaptive robotic sensing team · ICRA 2003 |
Robotics › Legged, aerial and field robots
miniature robot |
0.0 | 1 | 2002 | Mobility Enhancements to the Scout Robot Platform · ICRA 2002 |
Methods — techniques the papers use, named apart from their topics
heterogeneous sensing · 0.0grappling hook · 0.0actuating wheels · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2008 | Unknown Rewards in Finite-Horizon Domains
Colin McMillen, Manuela M. Veloso |
AAAI | 1 |
| 2007 | Thresholded Rewards: Acting Optimally in Timed, Zero-Sum Games
Colin McMillen, Manuela M. Veloso |
AAAI | 1 |
| 2006 | Distributed, Play-Based Coordination for Robot Teams in Dynamic Environments
Colin McMillen, Manuela M. Veloso |
RoboCup | 1 |
| 2003 | Heterogeneous implementation of an adaptive robotic sensing teamabstractWhen designing a mobile robotic team, an engineer is faced with many design choices. This paper discusses the design of a team consisting of two different models of robots with significantly different sensing and control capabilities intended to accomplish a similar task. Two new robotic platforms, the COTS Scout and the MegaScout are described along with their respective design considerations. Bradley Kratochvil, Ian T. Burt, Andrew Drenner, Derek Goerke, Bennett Jackson, Colin McMillen, Christopher Olson, Nikolaos Papanikolopoulos, Adam Pfeifer, Sascha Stoeter, Kristen Stubbs, David Waletzko |
ICRA | 6 |
| 2002 | Mobility Enhancements to the Scout Robot PlatformabstractWhen a distributed robotic system is assigned to perform reconnaissance or surveillance, restrictions inherent to the design of an individual robot limit the system's performance in certain environments. Finding an ideal portable robotic platform capable of deploying and returning information in spatially restrictive areas is not a simple task. The Scout robot, developed at the University of Minnesota, is a viable robotic platform for these types of missions. The small form factor of the Scout allows for deployment, placement, and concealment of a team of robots equipped with a variety of sensory packages. However, the design of the Scout requires a compromise in power, sensor types, locomotion, and size; together these factors prevent an individual Scout from operating ideally in some environments. Several attempts to address these deficiencies have been implemented and are discussed. Among the prototype solutions are actuating wheels, allowing the Scout to increase ground clearance in varying terrains, a grappling hook enabling the Scout to obtain a position of elevated observation, and infrared emitters to facilitate low light operation. Andrew Drenner, Ian T. Burt, Tom Dahlin, Bradley Kratochvil, Colin McMillen, Bradley J. Nelson, Nikolaos Papanikolopoulos, Paul E. Rybski, Kristen Stubbs, David Waletzko, Kemal Berk Yesin |
ICRA | 5 |