Demo Data from EDBT 2026 / reviewers in the wild / expert
H. Sakata
dblp:139/6109
· DBLP profile ↗
2ranked-venue papers
1as first author
0since 2021 · last 1991
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 first-authorSystems, architecture and hardware · 1 · 1 first-authorApplied, interdisciplinary, general and emerging computing · 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 |
Motion planning and robot control · 61% Robot manipulation · 39% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Motion planning and robot control › robot control › force control
adaptive force control |
0.0 | 1 | 1988 | Force control of servomechanism using adaptive control · IEEE J. Robotics Autom. 1988 |
Robotics › Motion planning and robot control › robot control
force control |
0.0 | 1 | 1988 | Force control of servomechanism using adaptive control · IEEE J. Robotics Autom. 1988 |
Robotics › Robot manipulation › parameter identification
stiffness estimation |
0.0 | 1 | 1988 | Force control of servomechanism using adaptive control · IEEE J. Robotics Autom. 1988 |
Methods — techniques the papers use, named apart from their topics
model-referenced adaptive control · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1991 | Collision avoidance system concept for mobile servicing systemabstractThe mobile servicing system (MSS) is an integrated mobile remote manipulator system under development by SPAR Aerospace Limited for the Canadian Space Agency. The MSS includes two separate manipulator systems, both possessing kinematic redundancy, and will be used in the construction and maintenance of the International Space Station Freedom. This paper presents the concepts for the collision avoidance system for these manipulators. The collision avoidance system uses a collision prediction system as a front end. The collision prediction system is based on an octree model of the environment and provides the location, direction, and distance of impending collision(s). Given the information, the system calculates the joint rate commands that will achieve automatic collision avoidance. Computer simulation of the Space Station remote manipulator system (SSRMS) operating in an octree model of the Space Station is shown, as well as hardware demonstration using a large-scale ground testbed for the special purpose dexterous manipulator (SPDM).> H. Sakata, T. Ng, Bruce Mack |
IROS | 1 |
| 1988 | Force control of servomechanism using adaptive controlabstractIt is shown that a servomechanism with only position/velocity functions can obtain a force control function using the adaptive theory (model-referenced adaptive system and model-referenced control). Experimental results of both the servomechanism and the single-degree-of-freedom force control of the manipulator show that this method leads to suitable force control when the object stiffness changes greatly. The advantage of this method is that a force control function is achieved by implementing software to identify the object stiffness without changing hardware.> Tetsuro Yabuta, Takayuki Yamada, Takeshi Tsujimura, H. Sakata |
IEEE J. Robotics Autom. | 4 |