Demo Data from SIGIR 2026 / reviewers in the wild / expert
Hiroyuki Nagamatsu
dblp:126/2716
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Legged, aerial and field robots › space robotics
satellite capture |
0.0 | 2 | 1997 | 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 |
0.0 | 2 | 1997 | 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 |
0.0 | 1 | 1997 | Autonomous retrieval of a tumbling satellite based on predictive trajectory · ICRA 1997 |
Robotics › Robot navigation and mapping › target tracking
target motion estimation |
0.0 | 1 | 1996 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1997 | Autonomous retrieval of a tumbling satellite based on predictive trajectoryabstractThis 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 |
ICRA | 1 |
| 1996 | Capture strategy for retrieval of a tumbling satellite by a space robotic manipulatorabstractIn 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 |
ICRA | 1 |