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Mong-Lu Chai

dblp:99/4998 · 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 · 61% Robot manipulation · 39%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation › manipulation control
contour following
0.012003
Real-time vision-based contour following with laser pointer · ICRA 2003
Robotics › Motion planning and robot control › robot control › sensor-based control
vision-based control
0.012003
Real-time vision-based contour following with laser pointer · ICRA 2003
Robotics › Motion planning and robot control › robot control › sensor-based control
visual servoing
0.012003
Real-time vision-based contour following with laser pointer · ICRA 2003

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

single-camera vision · 0.0image-based visual servoing · 0.0
YearPublicationVenuePosition
2003 Real-time vision-based contour following with laser pointer
abstract
This article addresses the visual servoing of a rigid robotic manipulator under fixed camera configuration. A laser pointer is mounted on the end-effector of a robot whose orientation can be controlled by automatic visual feedback. The control goal is to drive the laser spot to follow a visually determined planar contour by using a single-camera vision system. In this research, image-based control approach is proposed to achieve "precise" positioning in the absence of measurement noise. With this system, one can achieve automatic planar contour following using approximately calibrated single-camera vision. The control strategy is successfully validated in a real-time PC-based experimental system by performing experiments on arbitrary contour following.
Wen-Chung Chang, Mong-Lu Chai
ICRA2