Demo Data from SIGIR 2026 / reviewers in the wild / expert
Reinaldo Figueroa
dblp:330/3717
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2023
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 since 2021Systems, architecture and hardware · 1 · 1 since 2021
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 |
Motion planning and robot control · 87% Legged, aerial and field robots · 13% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Motion planning and robot control › trajectory planning
decentralized trajectory planning |
0.7 | 1 | 2023 | Robust MADER: Decentralized and Asynchronous Multiagent Trajectory Planner Robust to Communication Delay · ICRA 2023 |
Robotics › Motion planning and robot control › motion planning
multi-robot motion planning |
0.7 | 1 | 2023 | Robust MADER: Decentralized and Asynchronous Multiagent Trajectory Planner Robust to Communication Delay · ICRA 2023 |
Robotics › Legged, aerial and field robots
aerial robots |
0.2 | 1 | 2023 | Robust MADER: Decentralized and Asynchronous Multiagent Trajectory Planner Robust to Communication Delay · ICRA 2023 |
Methods — techniques the papers use, named apart from their topics
trajectory optimization · 0.7delay check · 0.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | Robust MADER: Decentralized and Asynchronous Multiagent Trajectory Planner Robust to Communication DelayabstractAlthough communication delays can disrupt multiagent systems, most of the existing multiagent trajectory planners lack a strategy to address this issue. State-of-the-art approaches typically assume perfect communication environments, which is hardly realistic in real-world experiments. This paper presents Robust MADER (RMADER), a decentralized and asynchronous multiagent trajectory planner that can handle communication delays among agents. By broadcasting both the newly optimized trajectory and the committed trajectory, and by performing a delay check step, RMADER is able to guarantee safety even under communication delay. RMADER was validated through extensive simulation and hardware flight experiments and achieved a 100% success rate of collision-free trajectory generation, outperforming state-of-the-art approaches. Kota Kondo, Jesus Tordesillas, Reinaldo Figueroa, Juan Rached, Joseph Merkel, Parker C. Lusk, Jonathan P. How |
ICRA | 3 |