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Wim Witvrouw

dblp:126/4865 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation
compliant motion
0.011996
Derivation of compliant motion programs based on human demonstration · ICRA 1996
Robotics › Motion planning and robot control › robot control
force control
0.011996
Derivation of compliant motion programs based on human demonstration · ICRA 1996
Robotics › Robot manipulation
learning from demonstration
0.011996
Derivation of compliant motion programs based on human demonstration · ICRA 1996
Robotics › Robot manipulation
robot programming
0.011996
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
YearPublicationVenuePosition
1996 Derivation of compliant motion programs based on human demonstration
abstract
An 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
ICRA3
1996 An environment for compliant motion programming by human demonstration
abstract
An 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
IROS3