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Yoshihito Koga

dblp:55/6331 · DBLP profile ↗
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3ranked-venue papers
3as first author
0since 2021 · last 1994
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 2 · 2 first-authorSystems, architecture and hardware · 2 · 2 first-authorGraphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-authorHuman-computer interaction and ubiquitous computing · 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.

Artificial intelligence
3 papers
Robot manipulation · 53% Motion planning and robot control · 47%
Computer graphics and multimedia
1 paper
Computer animation and physical simulation · 100%

Topics — the 5 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control › motion planning
manipulation planning
0.021994
On Multi-Arm Manipulation Planning · ICRA 1994
Experiments in dual-arm manipulation planning · ICRA 1992
Robotics › Robot manipulation › cooperative manipulation
multi-arm manipulation
0.011994
On Multi-Arm Manipulation Planning · ICRA 1994
Robotics › Robot manipulation
dual-arm manipulation
0.011992
Experiments in dual-arm manipulation planning · ICRA 1992
Robotics › Motion planning and robot control › robot control
inverse kinematics
0.011994
Planning motions with intentions · SIGGRAPH 1994
Robotics › Robot manipulation
cooperative manipulation
0.011992
Experiments in dual-arm manipulation planning · ICRA 1992

Methods — techniques the papers use, named apart from their topics

path planning · 0.0inverse kinematics · 0.0collision-free path planning · 0.0configuration space planning · 0.0
YearPublicationVenuePosition
1994 On Multi-Arm Manipulation Planning
abstract
This paper considers the automatic generation of motion paths for several cooperating robot arms to manipulate a movable object between two configurations among obstacles. To avoid collisions the robots may have to change their grasp of the object, for example, by passing it from one arm to another. The case where the movable object can only be moved by two arms acting simultaneously is also considered. An approach for solving this planning problem is described and illustrated with a robot system made of three arms moving in a 3D environment. Experiments with a planner implementing this approach show that it is not only fast, but also reliable in finding collision-free paths.>
Yoshihito Koga, Jean-Claude Latombe
ICRA1
1994 Planning motions with intentions
abstract
We apply manipulation planning to computer animation. A new path planner is presented that automatically computes the collision-free trajectories for several cooperating arms to manipulate a movable object between two configurations. This implemented planner is capable of dealing with complicated tasks where regrasping is involved. In addition, we present a new inverse kinematics algorithm for the human arms. This algorithm is utilized by the planner for the generation of realistic human arm motions as they manipulate objects. We view our system as a tool for facilitating the production of animation.
Yoshihito Koga, Koichi Kondo, James J. Kuffner, Jean-Claude Latombe
SIGGRAPH1
1992 Experiments in dual-arm manipulation planning
abstract
The problem of dual-arm manipulation planning is to plan the path of two cooperating robot arms to carry a moveable object from a given initial configuration to a given goal configuration amidst obstacles. The authors survey previous work in manipulation planning and relate it to this analysis. A formal configuration space presentation of the problem is given. Three implemented planners are described. These three planners operated in a two-dimensional workspace and addressed increasingly difficult versions of the dual-arm manipulation problem. They were implemented in the C language. Execution times given were obtained by running them on a DEC 5000 workstation.>
Yoshihito Koga, Jean-Claude Latombe
ICRA1