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S. M. Tam

dblp:50/1454 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 1995
—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-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
1 paper
Robot manipulation · 100%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Embedded and real-time systems · 100%

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

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation
grasping		 0.011995
An Inertial Sensor for Parts Inspection · ICRA 1995
Embedded and real-time systems › sensor systems
inertial sensing		 0.011995
An Inertial Sensor for Parts Inspection · ICRA 1995
Embedded and real-time systems
sensor design		 0.011995
An Inertial Sensor for Parts Inspection · ICRA 1995

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

vibration analysis · 0.0inertial property measurement · 0.0
YearPublicationVenuePosition
1995 An Inertial Sensor for Parts Inspection
abstract
This paper describes the development of a sensor which performs parts inspection by measuring the inertial properties of the part. The sensor comprises a measuring platform supported on a column which is fixed to a rigid base. The part under inspection is attached to the platform to form a single body. By measuring the static deflections of the column and the natural frequency of vibration of the system, it is possible to determine the spatial location of the centre of mass of the part.
S. M. Tam, K. C. Cheung
 ICRA1