Tomohiro Oosumi

dblp:94/4281 · DBLP profile ↗
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6ranked-venue papers
0as first author
0since 2021 · last 1998
—ORCID · none

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

Artificial intelligence and machine learning · 6Systems, architecture and hardware · 6

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
Motion planning and robot control · 58% Multi-agent systems · 38% Robot navigation and mapping · 2%

Topics — the 9 heaviest of 9, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control › multi-robot control
decentralized control
0.131998
Calibration of Coordinate System for Decentralized Coordinated Motion Control of Multiple Manipulators · ICRA 1998
Transportation of a Single Object by Two Decentralized-Controlled Nonholonomic Mobile Robots · ICRA 1998
Load sharing of decentralized-controlled multiple mobile robots handling a single object · ICRA 1997
Robotics › Motion planning and robot control › robot control
motion control
0.131998
Calibration of Coordinate System for Decentralized Coordinated Motion Control of Multiple Manipulators · ICRA 1998
Transportation of a Single Object by Two Decentralized-Controlled Nonholonomic Mobile Robots · ICRA 1998
Load sharing of decentralized-controlled multiple mobile robots handling a single object · ICRA 1997
Knowledge, reasoning and agents › Multi-agent systems
multi-robot coordination
0.131998
Calibration of Coordinate System for Decentralized Coordinated Motion Control of Multiple Manipulators · ICRA 1998
Transportation of a Single Object by Two Decentralized-Controlled Nonholonomic Mobile Robots · ICRA 1998
Load sharing of decentralized-controlled multiple mobile robots handling a single object · ICRA 1997
Knowledge, reasoning and agents › Multi-agent systems › multi-robot coordination
cooperative object manipulation
0.021998
Transportation of a Single Object by Two Decentralized-Controlled Nonholonomic Mobile Robots · ICRA 1998
Load sharing of decentralized-controlled multiple mobile robots handling a single object · ICRA 1997
Robotics › Motion planning and robot control › multi-robot control
coordinated motion control
0.011998
Calibration of Coordinate System for Decentralized Coordinated Motion Control of Multiple Manipulators · ICRA 1998
Robotics › Robot navigation and mapping
mobile robot navigation
0.011998
Transportation of a Single Object by Two Decentralized-Controlled Nonholonomic Mobile Robots · ICRA 1998
Robotics › Motion planning and robot control › robot control › nonholonomic systems
nonholonomic vehicle control
0.011998
Transportation of a Single Object by Two Decentralized-Controlled Nonholonomic Mobile Robots · ICRA 1998
Robotics › Motion planning and robot control
robot calibration
0.011998
Calibration of Coordinate System for Decentralized Coordinated Motion Control of Multiple Manipulators · ICRA 1998
Machine learning › Efficient and distributed learning › resource allocation
load balancing
0.011997
Load sharing of decentralized-controlled multiple mobile robots handling a single object · ICRA 1997

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

motion estimator · 0.0leader-follower control · 0.0extended kalman filter · 0.0dual caster action · 0.0decentralized control · 0.0
YearPublicationVenuePosition
1998 Transportation of a Single Object by Two Decentralized-Controlled Nonholonomic Mobile Robots
abstract
We propose a decentralized control algorithm for transporting a single object by two nonholonomic mobile robots driven by two wheels. We extend the leader-follower type control algorithm, proposed by Kosuge and Oosumi (1996) for holonomic robots, to mobile robots by introducing the dual caster action. The extended control algorithm is applied to two experimental tracked mobile robots, and the experimental results illustrate the validity of the control algorithm.
Kazuhiro Kosuge, Tomohiro Oosumi, Manabu Satou, Kunihiko Chiba, Koji Takeo
ICRA2
1998 Calibration of Coordinate System for Decentralized Coordinated Motion Control of Multiple Manipulators
abstract
We propose a method to calibrate the orientation error between the leader coordinate system and each of the follower for the leader-follower type decentralized coordinated motion control system of multiple robots using motion estimators. This method uses the relation between the velocity vector of the manipulated object in the leader coordinate system and the velocity vector in each of the follower coordinate system. The orientation error is estimated recursively by using the extended Kalman filter. Experimental results illustrate the effectiveness of the proposed method.
Kazuhiro Kosuge, Hiroyuki Seki, Tomohiro Oosumi
ICRA3
1998 Handling of a single object by multiple autonomous mobile robots in coordination with body force sensor
abstract
In this paper, we propose a new mobile robot architecture with a body force sensor. The body force sensor is the force/torque sensor which is located between the drive mechanism and the body of the mobile robot. The use of the body force sensor almost realizes the collocation of sensors and actuators, and makes the whole body of the mobile robot sensitive to external force/moment. Decentralized motion control algorithm for handling a single object by multiple robots in coordination is implemented in each mobile robot and stable handling of an object is realized by multiple mobile robots with the body force sensor. Experimental results illustrate the validity of the proposed architecture.
Kazuhiro Kosuge, Tomohiro Oosumi, Yasuhisa Hirata, Hajime Asama, Hayato Kaetsu, Kuniaki Kawabata
IROS2
1997 Load sharing of decentralized-controlled multiple mobile robots handling a single object
abstract
In this paper, we propose a decentralized control algorithm of multiple robots handling a single object in coordination. Different from our previous control algorithm the external force applied to the object, including the inertia force, is shared equally by all of the robots. The proposed control algorithm is experimentally applied to three mobile robots, each of which has one degree of freedom. The experimental results illustrate the validity of the proposed control system.
Kazuhiro Kosuge, Tomohiro Oosumi, Kunihiko Chiba
ICRA2
1997 Decentralized control of multiple manipulators handling an object in coordination based on impedance control of each arm
abstract
We propose a decentralized control algorithm of multiple manipulators handling a single object in coordination. The proposed algorithm is a leader-follower type; the motion command of the object is given to one of the manipulators, referred to as a leader, and the other manipulators, referred to as followers, estimate the motion of the leader by themselves through the motion of the object and handle the object based on the estimated motion. Different from the conventional leader-follower type of control algorithms, each manipulator is impedence-controlled and has equal dynamic characteristics. The stability of the resultant system with the decentralized control algorithm is also guaranteed. The proposed control algorithm is experimentally implemented in two industrial manipulators and the experimental results illustrate the validity of the system.
Kazuhiro Kosuge, Tomohiro Oosumi, Hiroyuki Seki
IROS2
1996 Decentralized control of multiple robots handling an object
abstract
We propose a decentralized control algorithm of multiple robots handling a single object in coordination. The motion command of the object is given to one of the robots, referred to as a leader, and the other robots referred to as followers estimate the motion of the leader by themselves through the motion of the object and handle the object based on the estimated reference. Each robot is controlled by its own controller without explicit communication among robots. Different from the conventional leader-follower type of robot control algorithms, the proposed control algorithm specifies the internal force applied to the object, while handling the object in coordination based on robot dynamics. The proposed control algorithm is experimentally applied to a one degree of freedom mobile robot, and the results illustrate the validity of the proposed control algorithm.
Kazuhiro Kosuge, Tomohiro Oosumi
IROS2