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Go Hirano

dblp:39/701 · DBLP profile ↗
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4ranked-venue papers
3as first author
0since 2021 · last 2002
—ORCID · none

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

Artificial intelligence and machine learning · 4 · 3 first-authorSystems, architecture and hardware · 4 · 3 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
2 papers
Robot manipulation · 55% Motion planning and robot control · 46%

Topics — the 4 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control › path planning
collision-free path planning
0.011996
Cooperative path planning for two manipulators · ICRA 1996
Robotics › Robot manipulation › cooperative manipulation
cooperating manipulators
0.011996
Cooperative path planning for two manipulators · ICRA 1996
Robotics › Robot manipulation
manipulation
0.011996
Cooperative path planning for two manipulators · ICRA 1996
Robotics › Motion planning and robot control
motion planning
0.011996
Cooperative path planning for two manipulators · ICRA 1996

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

joint trajectory generation · 0.0interaction force modeling · 0.0redundancy resolution · 0.0potential function method · 0.0
YearPublicationVenuePosition
2002 Study on cooperative multiple manipulators with passive joints
abstract
In this paper, we consider cooperative multiple manipulators with passive joints and study the effect of a combination of active and passive joints. This kind of manipulator system may restrict the direction of the end-effector's force depending on which joints are set to passive ones. In the case of operating and transferring a common object, this restriction may give a less effective force and excessive internal force to the object. To use driving force effectively, the question of which joints are set to passive ones must be considered. Therefore, we show the effect of the joint configurations by case studies.
Go Hirano, Motoji Yamamoto, Akira Mohri
IROS1
2000 Trajectory planning for cooperative multiple manipulators with passive joints
abstract
This paper proposes an algorithm to determine suboptimal paths and trajectories for cooperative multiple manipulators with passive joints. The problem of operating and transferring the object from a given start point to a given goal point is considered. In this case, in general, degrees of freedom of the manipulators are larger than that of the object, and thus this manipulator system involves redundancy. Several joints can be changed to passive ones. We use remaining redundant degrees of freedom to refine trajectories. We apply this algorithm to a two-manipulators system. Simulation results show the effectiveness of the algorithm.
Go Hirano, Motoji Yamamoto, Akira Mohri
IROS1
1998 Cooperative Motion Planning for Grasp-Work Type Manipulators
abstract
A motion planning problem of a cooperative multiple manipulator system carrying out grinding work or similar works to the object is considered. One manipulator holds the object rigidly and the other holds the tool and works on the object's surface. At the contact point between the object and the tool there exists friction, so that interaction forces must be taken into consideration in the dynamics of manipulators and the object. We only specify the tool task on the object's surface, so the object and manipulators can move arbitrary paths in the world coordinates frame. We propose an algorithm to generate joint trajectories for cooperative multiple manipulators to accomplish the specified task effectively.
Go Hirano, Motoji Yamamoto, Akira Mohri
ICRA1
1996 Cooperative path planning for two manipulators
abstract
This paper proposes a method of planning collision free joints paths for two cooperative manipulators. When two manipulators hold a common object and execute specified tasks, there are problems related to handling and collision. To move two manipulators effectively, all of them must be considered together. There are redundancy aspects peculiar to the cooperative two manipulators. We use this redundancy and the potential function method to avoid collisions between the object and the link, the link and the link, the link and the obstacle and so on. Simulation results show the effectiveness of the proposed method.
Akira Mohri, Motoji Yamamoto, Go Hirano
ICRA3