Demo Data from SIGIR 2026 / reviewers in the wild / expert
H. Yuan-Chou
dblp:191/0518
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1985
—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 |
Motion planning and robot control · 100% |
Topics — the 1 heaviest of 1, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Motion planning and robot control › robot control › motion control
precision control |
0.0 | 1 | 1985 | Optimal actuator stiffness distribution for robotic manipulators based on local dynamic criteria · ICRA 1985 |
Methods — techniques the papers use, named apart from their topics
local optimization · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1985 | Optimal actuator stiffness distribution for robotic manipulators based on local dynamic criteriaabstractCurrent industrial robots deflect as much as 25 times their specified accuracy due to their capacity load. This paper presents the local optimization criteria for the distribution of actuator stiffness (or compliance) of a given manipulator configuration to enhance the overall stiffness of the structure and to guarantee a specified level of precision under a known magnitude of machining load resulting from drilling, routing, riveting, etc. Position dependent kinematic influence coefficients [2] form a convenient basis for the compliance matrix for demonstration of the role of significant physical parameters and efficient computation in the analysis and design process. Specific examples dealing with optimal distribution of actuator compliance are presented. The techniques developed in this paper and the previous work [6,7] can greatly reduce the design cycle time for accurate, reliable manipulators, and makes adjustment of the distribution of system parameters to enhance controllability more feasible, especially when precision control under external disturbance is required. H. Yuan-Chou, Delbert Tesar |
ICRA | 2 |