Demo Data from SIGIR 2026 / reviewers in the wild / expert
Wim Witvrouw
dblp:126/4865
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 1996
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2Systems, architecture and hardware · 2
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 · 75% Motion planning and robot control · 25% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Robot manipulation
compliant motion |
0.0 | 1 | 1996 | Derivation of compliant motion programs based on human demonstration · ICRA 1996 |
Robotics › Motion planning and robot control › robot control
force control |
0.0 | 1 | 1996 | Derivation of compliant motion programs based on human demonstration · ICRA 1996 |
Robotics › Robot manipulation
learning from demonstration |
0.0 | 1 | 1996 | Derivation of compliant motion programs based on human demonstration · ICRA 1996 |
Robotics › Robot manipulation
robot programming |
0.0 | 1 | 1996 | Derivation of compliant motion programs based on human demonstration · ICRA 1996 |
Methods — techniques the papers use, named apart from their topics
termination condition identification · 0.0subtask segmentation · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1996 | Derivation of compliant motion programs based on human demonstrationabstractAn approach to force controlled robot programming by human demonstration is presented. A human operator utilises a joystick to guide a robot with a force sensor to do a task including continuous contact between a manipulated object and an un-modelled environment. During the demonstration, the position, velocity and force of the object manipulated are acquired. Then the recorded data are processed, analysed, and translated into a textual robot program, which provides more robust execution in the presence of uncertainties. This approach consists of three key techniques-data processing, subtask segmentation and termination condition identification. A software package is developed to generate the programs automatically. Experiments show the industrial applicability. Joris De Schutter, Wim Witvrouw, Sean Graves |
ICRA | 3 |
| 1996 | An environment for compliant motion programming by human demonstrationabstractAn integrated system for programming by demonstration, visualizing, and executing compliant motion programs is described. A human operator utilises a joystick to guide a robot with a force sensor to do a task including continuous contact between manipulator and environment. The demonstration may be executed either on an actual robot, or in a graphically simulated environment. During the demonstration, the position, velocity and force of the object manipulated are acquired. Then the recorded data are processed, analysed, and translated into a textual robot program, which provides more robust execution in the presence of uncertainties. The system is composed of a model-based reaction force simulator, a visualization package, a rule-based translator, and an interpreter for compliant motion programs. Experiments show the industrial applicability. Sean Graves, Wim Witvrouw, Joris De Schutter |
IROS | 3 |