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Satoru Zenitani

dblp:13/5438 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1995
—ORCID · none

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

Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1

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
Robot manipulation · 77% Motion planning and robot control · 23%

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

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation
cooperative manipulation
0.011995
Object-Transportation Control by Multiple Wheeled Vehicle-Planar Cartesian Manipulator Systems · ICRA 1995
Robotics › Robot manipulation › cooperative manipulation
multi-robot transportation
0.011995
Object-Transportation Control by Multiple Wheeled Vehicle-Planar Cartesian Manipulator Systems · ICRA 1995
Robotics › Motion planning and robot control › robot control › nonholonomic systems
nonholonomic vehicle control
0.011995
Object-Transportation Control by Multiple Wheeled Vehicle-Planar Cartesian Manipulator Systems · ICRA 1995
Robotics › Motion planning and robot control › robot control
redundant manipulator control
0.011995
Object-Transportation Control by Multiple Wheeled Vehicle-Planar Cartesian Manipulator Systems · ICRA 1995

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

kinematic redundancy resolution · 0.0impedance control · 0.0
YearPublicationVenuePosition
1995 Object-Transportation Control by Multiple Wheeled Vehicle-Planar Cartesian Manipulator Systems
abstract
This paper proposes a control scheme to transport a palletized load by several wheeled vehicles (automated guided vehicles in factory). The planar Cartesian manipulator with two-degrees-of-freedom prismatic joint and one-degree-of-freedom rotary joint is mounted on each vehicle so that the vehicle with nonholonomic constraint and slow dynamic response can dexterously manipulate the pallet. Each vehicle-manipulator system independently controls the acceleration of its own hand grasping the pallet based on the prescribed mechanical impedance model. The kinematical redundancy of the vehicle-manipulator system is exploited to keep the manipulator arm within its workspace while executing the hand desired acceleration faithfully. The simulation result for the object-transportation by four vehicle-manipulator systems illustrates the validity of the proposed control scheme.
Masafumi Hashimoto, Fuminori Oba, Satoru Zenitani
ICRA3