Demo Data from SIGIR 2026 / reviewers in the wild / expert
Koichi Morishige
dblp:85/3651
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 1997
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 first-authorSystems, architecture and hardware · 1 · 1 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.
| Computer graphics and multimedia
1 paper |
Computational fabrication · 100% | |
| Artificial intelligence
1 paper |
Motion planning and robot control · 100% |
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 › path planning
collision-free path planning |
0.0 | 1 | 1997 | 5-axis control rough cutting of an impeller with efficiency and accuracy · ICRA 1997 |
Computational fabrication › machining
5-axis machining |
0.0 | 1 | 1997 | 5-axis control rough cutting of an impeller with efficiency and accuracy · ICRA 1997 |
Computational fabrication
machining |
0.0 | 1 | 1997 | 5-axis control rough cutting of an impeller with efficiency and accuracy · ICRA 1997 |
Methods — techniques the papers use, named apart from their topics
CAM · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1997 | 5-axis control rough cutting of an impeller with efficiency and accuracyabstractThis study deals with how to generate 5-axis control rough cutting NC data. The 5-axis control machining offers the potential of efficient and accurate machining. However, present CAM systems for 5-axis control are lacking in generality and functions for the tool path generation. Although the rough cutting is the most important process influencing the machining time and the condition in the following finishing process, a lot of difficulties arise to perform 5-axis control rough cutting. Especially, the collision between a tool and surrounding objects is still a severe problem. This paper suggests the collision-free tool path generation for 5-axis control rough cutting, taking account of efficiency and accuracy. The devised method allows an impeller-like shape to be actually milled with efficiency and accuracy. As a result, the validity of the method is experimentally confirmed. Koichi Morishige, Yoshimi Takeuchi |
ICRA | 1 |