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Jun-ichi Hirai

dblp:40/2070 · DBLP profile ↗
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2ranked-venue papers
1as 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 · 1 first-authorSystems, architecture and hardware · 2 · 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
1 paper
Motion planning and robot control · 61% Planning, search and constraint satisfaction · 30% Robot manipulation · 9%

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

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control › assembly planning
assembly task planning		 0.011994
Distributed Planning for Assembly Tasks by Multiple Manipulators · ICRA 1994
Knowledge, reasoning and agents › Planning, search and constraint satisfaction › multi-agent planning
distributed planning		 0.011994
Distributed Planning for Assembly Tasks by Multiple Manipulators · ICRA 1994
Robotics › Motion planning and robot control
motion planning		 0.011994
Distributed Planning for Assembly Tasks by Multiple Manipulators · ICRA 1994
Robotics › Robot manipulation › cooperative manipulation
multi-robot manipulation		 0.011994
Distributed Planning for Assembly Tasks by Multiple Manipulators · ICRA 1994
YearPublicationVenuePosition
1994 Distributed Planning for Assembly Tasks by Multiple Manipulators
abstract
Generally, algorithms for assembly task planning are apt to become complicated. Moreover, it is very difficult to create plans for multiple manipulators. The authors propose a new assembly task planning system for multiple manipulators in order to avoid this problem and improve the flexibility and the reliability of the whole system. In this system, each of the parts composing a machine is regarded as an agent, and a plan for an assembly task is automatically generated as the results of autonomous behaviors of these agents. The outline of the planning system based on this concept is described, some simulation results using a cooperative computational model are given.>
Tadashi Nagata, Jun-ichi Hirai
 ICRA2
1994 Agent-oriented and distributed assembly task planning for multiple manipulators
abstract
Generally, algorithms for assembly task planning are apt to become complicated. Moreover, it is very difficult to create plans for multiple manipulators, because complicated tasks to divide an obtained plan into some subtasks and allocate them to each manipulator have to be executed. We propose a new assembly task planning system for multiple manipulators in order to avoid these complicated problems and improve the feasibility and the reliability of the whole system. In this system, each of parts composing a machine as regarded as an agent, and a plan for an assembly task is automatically generated as results of autonomous behaviors of these agents. The outline of the planning system based on this concept is described, some simulation results using a cooperative computational model are given.>
Jun-ichi Hirai, Tadashi Nagata
 IROS1