EDBT 2026 Demo / reviewers in the wild / expert
Jacek Jarzynski
dblp:96/9218
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1989
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 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 · 46% Motion planning and robot control · 30% Robot navigation and mapping · 23% |
Topics — the 5 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Robot manipulation › industrial manipulation
robotic welding |
0.0 | 1 | 1989 | Application of ultrasonic sensors to robotic seam tracking · IEEE Trans. Robotics Autom. 1989 |
Robotics › Robot manipulation › industrial manipulation › robotic welding
seam tracking |
0.0 | 1 | 1989 | Application of ultrasonic sensors to robotic seam tracking · IEEE Trans. Robotics Autom. 1989 |
Robotics › Motion planning and robot control › robot control
sensor-based control |
0.0 | 1 | 1989 | Application of ultrasonic sensors to robotic seam tracking · IEEE Trans. Robotics Autom. 1989 |
Robotics › Robot navigation and mapping › acoustic sensing
ultrasonic sensing |
0.0 | 1 | 1989 | Application of ultrasonic sensors to robotic seam tracking · IEEE Trans. Robotics Autom. 1989 |
Robotics › Motion planning and robot control
trajectory planning |
0.0 | 1 | 1989 | Application of ultrasonic sensors to robotic seam tracking · IEEE Trans. Robotics Autom. 1989 |
Methods — techniques the papers use, named apart from their topics
ultrasonic sensing · 0.0echo pulse measurement · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1989 | Application of ultrasonic sensors to robotic seam trackingabstractAn automatic seam tracking system that uses an ultrasonic-based sensor has been developed and interfaced to a P-50 Process Robot in an effort to achieve online seam tracking of joints, without the use of workpiece geometrical models or subsequent 'teaching' routines. The transducer is used to inspect the workpiece ahead of the torch and to measure joint orientation as well as lateral deviation caused by curvature or discontinuities in the joint path. Measurements of echo pulse amplitude and transit time are combined with a particular torch-sensor arrangement and transducer positioning strategy to eliminate ambiguities resulting from symmetry in the acoustic signal and from environmental factors such as joint geometry and roughness. Data pertaining to the joint orientation and lateral deviation are acquired periodically by sampling equispaced points along the joint as the torch advances. With each sample, data are transferred to the microcomputer, where a trajectory-generating algorithm calculates the (x, y, theta ) coordinates of the torch tip trajectory needed to meet the tracking requirements. The actual tracking task is accomplished online by executing a series of shifts in these coordinates.> Benigno Maqueira, Charles I. Umeagukwu, Jacek Jarzynski |
IEEE Trans. Robotics Autom. | 3 |