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P. M. Bruijn

dblp:139/6010 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 1997
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1Applied, 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
Motion planning and robot control · 100%

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

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control › robot control
adaptive control		 0.011988
Robot control using adaptive transformations · IEEE J. Robotics Autom. 1988
Robotics › Motion planning and robot control
coordinate transformation		 0.011988
Robot control using adaptive transformations · IEEE J. Robotics Autom. 1988
Robotics › Motion planning and robot control › robot control › kinematic control
inverse jacobian control		 0.011988
Robot control using adaptive transformations · IEEE J. Robotics Autom. 1988

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

servo loop control · 0.0adaptive transformation · 0.0
YearPublicationVenuePosition
1997 Fuzzy control and conventional control: What is (and can be) the real contribution of Fuzzy Systems?
Henk B. Verbruggen, P. M. Bruijn
 Fuzzy Sets Syst.2
1988 Robot control using adaptive transformations
abstract
A control strategy is presented for robots that do not have accurately known mechanical structures or have inaccuracies caused by bending, slip, or backlash. In the system, the manipulator's endpoint is monitored in a servo loop, so that inaccuracies in the structure can be compensated. An adaptive transformation from task to robot-oriented coordinates has been used online, without prior modeling or calculation. The strategy developed has been simulated for a two-degree-of-freedom robot. Results are compared with those obtained using the inverse Jacobian as part of the control system.>
Arnold J. Lobbezoo, P. M. Bruijn, M. S. Davies, William G. Dunford, Peter D. Lawrence, H. R. van Nauta Lemke
 IEEE J. Robotics Autom.2