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Koichi Morishige

dblp:85/3651 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control › path planning
collision-free path planning
0.011997
5-axis control rough cutting of an impeller with efficiency and accuracy · ICRA 1997
Computational fabrication › machining
5-axis machining
0.011997
5-axis control rough cutting of an impeller with efficiency and accuracy · ICRA 1997
Computational fabrication
machining
0.011997
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
YearPublicationVenuePosition
1997 5-axis control rough cutting of an impeller with efficiency and accuracy
abstract
This 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
ICRA1