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Samuel Au

dblp:99/1309 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2003
—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%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Hardware accelerators and domain-specific architectures · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control › robot control
actuator control
0.012003
Large-scale servo control using a matrix wire network for driving a large number of actuators · ICRA 2003
Robotics › Motion planning and robot control › robot control › motion control
servo control
0.012003
Large-scale servo control using a matrix wire network for driving a large number of actuators · ICRA 2003

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

shared drive amplifier · 0.1matrix wire network · 0.1
YearPublicationVenuePosition
2003 Large-scale servo control using a matrix wire network for driving a large number of actuators
abstract
Traditionally, a dedicated power amplifier is used for driving each actuator. For a system with a large number of actuator, this one-to-one architecture may be inefficient and costly. This paper presents a new, scalable architecture, called networked actuation architecture, for the power drive and control of large-scale actuation systems. The networked actuation architecture allows sharing of the drive amplifiers among many actuators, and thereby reducing the number of the drive amplifiers and wiring requirements. Since several actuators are sharing a drive amplifier, traditional control algorithms are not applicable. Several new control algorithms for large-scale actuation are presented and compared. Simulation is performed for different types of control algorithm for different types of inputs.
Kyu-Jin Cho, Samuel Au, H. Harry Asada
ICRA2