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Jianming Tao

dblp:71/1076 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 1999
—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%

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

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation
industrial robot
0.011999
Assessment of Feedback Variable for Through-the-Arc Seam Tracking in Robotic Gas Metal Arc Welding · ICRA 1999
Robotics › Robot manipulation › industrial manipulation
robotic welding
0.011999
Assessment of Feedback Variable for Through-the-Arc Seam Tracking in Robotic Gas Metal Arc Welding · ICRA 1999
Robotics › Robot manipulation › industrial manipulation › robotic welding
seam tracking
0.011999
Assessment of Feedback Variable for Through-the-Arc Seam Tracking in Robotic Gas Metal Arc Welding · ICRA 1999

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

through-the-arc sensing · 0.0feedback variable assessment · 0.0
YearPublicationVenuePosition
1999 Assessment of Feedback Variable for Through-the-Arc Seam Tracking in Robotic Gas Metal Arc Welding
abstract
Through arc seam tracking for robotic arc welding is used by many robot manufacturers and automated arc welding system builders to compensate for weld joint location variance relative to the taught path of the robot manipulator. The method typically requires the robot manipulator to weave the weld torch assembly across the weld joint and to subsequently monitor the variation in welding arc current as a function of torch position. New weld power supply designs incorporating various proprietary control mechanisms require changes in the feedback variable selection traditionally used for through the arc sensing. Understanding and quantifying the control techniques used by the subject weld power source is required in order to provide robust seam tracking. Experiments were conducted to assess the impact of weld power source control technique on feedback values of welding current and voltage relevant to seam tracking. Several pulsed output power sources with different control philosophies were evaluated and the resulting data is presented. The results of these experiments are presented along with conclusions regarding the optimum choice of feedback variable for through arc seam tracking.
Jianming Tao, Peter Levick
ICRA1