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Hiroyuki Nagamatsu

dblp:126/2716 · DBLP profile ↗
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2ranked-venue papers
2as first author
0since 2021 · last 1997
—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-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
Legged, aerial and field robots · 67% Autonomous driving · 18% Robot navigation and mapping · 16%

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

TopicWeightPapersLastEvidence papers
Robotics › Legged, aerial and field robots › space robotics
satellite capture
0.021997
Autonomous retrieval of a tumbling satellite based on predictive trajectory · ICRA 1997
Capture strategy for retrieval of a tumbling satellite by a space robotic manipulator · ICRA 1996
Robotics › Legged, aerial and field robots
space robotics
0.021997
Autonomous retrieval of a tumbling satellite based on predictive trajectory · ICRA 1997
Capture strategy for retrieval of a tumbling satellite by a space robotic manipulator · ICRA 1996
Robotics › Autonomous driving
trajectory prediction
0.011997
Autonomous retrieval of a tumbling satellite based on predictive trajectory · ICRA 1997
Robotics › Robot navigation and mapping › target tracking
target motion estimation
0.011996
Capture strategy for retrieval of a tumbling satellite by a space robotic manipulator · ICRA 1996

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

predictive trajectory control · 0.0kalman filtering · 0.0
YearPublicationVenuePosition
1997 Autonomous retrieval of a tumbling satellite based on predictive trajectory
abstract
This paper describes a practical method for autonomous capture of a target satellite in space using an on-board manipulator. In retrieving a satellite, a reference trajectory for control of the manipulator is generated with time delay due to the processing time of the target motion estimator and the manipulator controller. Consequently, the control system shows a poor performance and the end-effector sometimes fails to capture the target satellite. To solve this problem, a control system is proposed, which utilizes predictive trajectory based on the target satellite dynamics. The validity and the usefulness of the proposed control method are shown by computer simulations and experiments using a 3D hardware simulator with 9 degrees of freedom.
Hiroyuki Nagamatsu, Takashi Kubota, Ichiro Nakatani
ICRA1
1996 Capture strategy for retrieval of a tumbling satellite by a space robotic manipulator
abstract
In autonomous retrieval of a free-flying object, tumbling motion makes it difficult to grapple the objects with an on-board manipulator. This paper presents a new control scheme to capture a tumbling satellite based on a simple dynamical model. The target motion is estimated based on visual information using Kalman filtering technique. The capture planning based on the proposed model becomes simple because the motion of a grapple fixture on a target satellite nearly stops relative to the end-effector of a manipulator. The validity and the usefulness of the proposed method are shown by computer simulations and experiments using a 3-D hardware simulator with 9 degrees of freedom.
Hiroyuki Nagamatsu, Takashi Kubota, Ichiro Nakatani
ICRA1