Demo Data from VLDB 2026 / reviewers in the wild / expert
Masumi Ichien
dblp:84/11
· DBLP profile ↗
2ranked-venue papers
0as first author
2since 2021 · last 2024
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2 · 2 since 2021Systems, architecture and hardware · 2 · 2 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
2 papers |
Multi-agent systems · 67% Motion planning and robot control · 33% |
Topics — the 6 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Knowledge, reasoning and agents › Multi-agent systems
formation control |
0.8 | 1 | 2024 | Stability Analysis of Distance-Angle Leader-Follower Formation Control · ICRA 2024 |
Knowledge, reasoning and agents › Multi-agent systems › formation control
leader-follower formation |
0.8 | 1 | 2024 | Stability Analysis of Distance-Angle Leader-Follower Formation Control · ICRA 2024 |
Robotics › Motion planning and robot control
stability analysis |
0.8 | 1 | 2024 | Stability Analysis of Distance-Angle Leader-Follower Formation Control · ICRA 2024 |
Robotics › Motion planning and robot control › robot control › safe control
control barrier functions |
0.5 | 1 | 2021 | Consensus-Based Control Barrier Function for Swarm · ICRA 2021 |
Knowledge, reasoning and agents › Multi-agent systems › multi-agent coordination
distributed coordination |
0.5 | 1 | 2021 | Consensus-Based Control Barrier Function for Swarm · ICRA 2021 |
Knowledge, reasoning and agents › Multi-agent systems › swarm robotics
swarm control |
0.5 | 1 | 2021 | Consensus-Based Control Barrier Function for Swarm · ICRA 2021 |
Methods — techniques the papers use, named apart from their topics
lyapunov stability analysis · 0.8control barrier functions · 0.5consensus filter · 0.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Stability Analysis of Distance-Angle Leader-Follower Formation ControlabstractNecessary and sufficient conditions are described for stable distance-angle leader-follower formation control of first- and second-order holonomic and non-holonomic mobile robots. The distance-angle leader-follower formation is a problem of maintaining the desired relative distance and orientation of robots in a group. Our analysis shows that the input constraints on the leader are necessary for stable formation control. These constraints are summarized as follows: 1) In a team of first (second) order holonomic mobile robots, the leader has to be controlled as a first (second) order non-holonomic mobile robot; 2) In a team of first (second) order non-holonomic mobile robots, the control input of the leader must be limited so that the curvature is first (second) order differentiable. We further show that these constraints are sufficient for the followers to maintain formation. Moreover, we present globally asymptotically stable controllers and describe simulation experiments that demonstrate the effectiveness of these controllers. Manao Machida, Masumi Ichien |
ICRA | 2 |
| 2021 | Consensus-Based Control Barrier Function for SwarmabstractIn swarm control, many robots coordinate their actions in a distributed and decentralized way. We propose a consensus-based control barrier function (CCBF) for a swarm. CCBF restricts the states of the whole distributed system, not just those of the individual robots. The barrier function is approximated by a consensus filter. We prove that CCBF constrains the control inputs for holding the forward invariance of the safety set. Moreover, we applied CCBF to a practical problem and conducted an experiment with actual robots. The results showed that CCBF restricted the states of multiple robots to the safety set. To the best of our knowledge, this is the first CBF that can restrict the state of the whole distributed system with only local communication. CCBF has various applications such as monitoring with a swarm and maintaining the network between a swarm and a base station. Manao Machida, Masumi Ichien |
ICRA | 2 |