Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

M. C. Tsai

dblp:24/11123 · DBLP profile ↗
← Back
1ranked-venue papers
1as first author
0since 2021 · last 1996
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 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
Motion planning and robot control · 100%

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

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control › manipulator control
conveyor tracking
0.011996
Tracking control of a conveyor belt: design and experiments · IEEE Trans. Robotics Autom. 1996
Robotics › Motion planning and robot control › robot control
sensor-based control
0.011996
Tracking control of a conveyor belt: design and experiments · IEEE Trans. Robotics Autom. 1996
Robotics › Motion planning and robot control › robot control
tracking control
0.011996
Tracking control of a conveyor belt: design and experiments · IEEE Trans. Robotics Autom. 1996

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

reflective optical sensor · 0.0predictive compensation · 0.0
YearPublicationVenuePosition
1996 Tracking control of a conveyor belt: design and experiments
abstract
This paper presents the results of an experimental setup for a position tracking system that is to control a working table to track a workpiece on a moving conveyor belt, such that the manipulator placed on the working table is able to operate upon the workpiece while the workpiece is still moving. The feedback control employs a reflective type optical sensor which is placed on the table, to measure the relative positions of the working table and the workpiece. A predictive method to compensate for the effect of sensor output saturation on tracking performance is investigated in detail. The application of this tracking control to industrial production lines to achieve a nonstop work flow may shorten overall manufacturing time, and therefore improve the production efficiency and increase the productivity.
M. C. Tsai
IEEE Trans. Robotics Autom.1