Demo Data from VLDB 2026 / reviewers in the wild / expert
Takeshi Hatanaka
dblp:72/1652
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2019
0000-0003-3143-121XORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1Applied, interdisciplinary, general and emerging computing · 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 |
Motion planning and robot control · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Motion planning and robot control
multi-robot control |
0.4 | 1 | 2019 | Visual Coverage Control for Teams of Quadcopters via Control Barrier Functions · ICRA 2019 |
Robotics › Motion planning and robot control › mobile robot control
visual coverage control |
0.4 | 1 | 2019 | Visual Coverage Control for Teams of Quadcopters via Control Barrier Functions · ICRA 2019 |
Robotics › Motion planning and robot control › robot control › safe control
control barrier functions |
0.1 | 1 | 2019 | Visual Coverage Control for Teams of Quadcopters via Control Barrier Functions · ICRA 2019 |
Robotics › Motion planning and robot control
robot control |
0.1 | 1 | 2019 | Visual Coverage Control for Teams of Quadcopters via Control Barrier Functions · ICRA 2019 |
Methods — techniques the papers use, named apart from their topics
distributed control law · 0.4control barrier functions · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2019 | Visual Coverage Control for Teams of Quadcopters via Control Barrier FunctionsabstractThis paper presents a coverage control strategy for teams of quadcopters that ensures that no area is left unsurveyed in between the fields of view of the visual sensors mounted on the quadcopters. We present a locational cost that quantifies the team's coverage performance according to the sensors' performance function. Moreover, the cost function penalizes overlaps between the fields of view of the different sensors, with the objective of increasing the area covered by the team. A distributed control law is derived for the quadcopters so that they adjust their position and zoom according to the direction of ascent of the cost. Control barrier functions are implemented to ensure that, while executing the gradient ascent control law, no holes appear in between the fields of view of neighboring robots. The performance of the algorithm is evaluated in simulated experiments. Riku Funada, Maria Santos 0003, Junya Yamauchi, Takeshi Hatanaka, Masayuki Fujita, Magnus Egerstedt |
ICRA | 4 |
| 2016 | Parallel distributed Interactive Genetic Algorithm for composing music melody suited to multiple users' feelingsabstractThis study aims to propose an Interactive Evolutionary Computation that creates sound contents for multiple users. Sound contents including music pieces and sign sounds are often used in our daily life for creating common atmosphere and transmitting a certain message to everyone. The proposed method is based on parallel distributed Interactive Genetic Algorithm (IGA), which creates visual media contents commonly suited to multiple users. In this method, each of the users proceeds general IGA process by evaluating solution candidates of the IGA. As a special property of this method, in some generations, solution candidates are exchanged between the users. With the exchange, each of the users is affected by other users' feelings. It is expected that good solution evaluated as best solution by all of the users is obtained. Based on the concept of the proposed method, we constructed an IGA system for fundamentally investigating efficiencies of the proposed method. Aim of the IGA system is to create a short music melody commonly affording bright image. Key of the notes was treated as gene of IGA. Music chord progression called Canon chord is attached to the melody when it is presented to the subjects. 10 persons participated in the experiment as subjects. In the IGA system, two users participated in the evaluation process simultaneously. Experimental results showed almost continuous increase in mean and maximum fitness values between the subjects. To clarify the efficiency of the exchange of the proposed method, further study with comparing experiment including conditions with/without the exchange is needed. Makoto Fukumoto, Takeshi Hatanaka |
ICIS | 2 |