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

John E. Maslakowski

dblp:73/1009 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
0since 2021 · last 1994
—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
Robot manipulation · 50% Motion planning and robot control · 50%

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

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation › industrial manipulation › robotic welding
seam tracking
0.011994
Real-Time Seam Tracking for Rocket Thrust Chamber Manufacturing · ICRA 1994
Robotics › Motion planning and robot control › robot control
sensor-based control
0.011994
Real-Time Seam Tracking for Rocket Thrust Chamber Manufacturing · ICRA 1994

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

capacitance sensing · 0.0PID control · 0.0
YearPublicationVenuePosition
1994 Real-Time Seam Tracking for Rocket Thrust Chamber Manufacturing
abstract
A sensor-based control approach for real-time seam tracking of rocket thrust chamber assemblies has been developed to enable automation of a braze paste dispensing process. This approach utilizes a non-contact multi-axis seam tracking (MAST) sensor to track the seams. The MAST sensor measures capacitance variations between the sensor and the workpiece and produces four varying voltages which are read directly into the robot controller. A PID control algorithm which runs at the application program level has been designed based upon a simple dynamic model of the combined robot and sensor plant. The control algorithm acts on the incoming sensor signals in real-time to guide the robot motion along the seam path. Experiments demonstrate that seams can be tracked at 100 mm/sec within the accuracy required for braze paste dispensing.>
Dan J. Schmitt, Jim L. Novak, Gregory P. Starr, John E. Maslakowski
ICRA4