Demo Data from EDBT 2026 / reviewers in the wild / expert
Ban Masuhara
dblp:11/2080
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2003
—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 |
Robot manipulation · 100% |
Topics — the 1 heaviest of 1, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Robot manipulation › parallel manipulator
parallel manipulator design |
0.0 | 1 | 2003 | Development of parallel manipulator "NINJA" with ultra-high-acceleration · ICRA 2003 |
Methods — techniques the papers use, named apart from their topics
optimal design · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2003 | Development of parallel manipulator "NINJA" with ultra-high-accelerationabstractThis paper describes the process of developing the parallel mechanism "NINJA ", which is designed to achieve an acceleration rate over 100 [G] (G: gravitational acceleration). To design this mechanism, we introduce a two-step design method (an optimum design method). The technical part of this method consists of formulating the design problem of two steps: Step 1, where we assume and select the design parameters, which should satisfy the required specifications, and Step 2, where we optimize the parameters under the constraint conditions based on the required specifications. To demonstrate the acceleration performance, we present experimental results using the prototype NINJA. Kiyoshi Nagai, Masaharu Matsumoto, Ken'ichiro Kimura, Ban Masuhara |
ICRA | 4 |