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C. A. Derventzis

dblp:144/5132 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 1992
—ORCID · none

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

Artificial intelligence and machine learning · 1 · 1 first-authorSystems, architecture and hardware · 1 · 1 first-author

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 · 60% Robot manipulation · 40%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control › robot control › feedback control
acceleration feedback control
0.011992
Robust motion/force control of cooperative multi-arm systems · ICRA 1992
Robotics › Robot manipulation
cooperative manipulation
0.011992
Robust motion/force control of cooperative multi-arm systems · ICRA 1992
Robotics › Motion planning and robot control › robot control › compliant motion control
hybrid position/force control
0.011992
Robust motion/force control of cooperative multi-arm systems · ICRA 1992
Robotics › Robot manipulation › cooperative manipulation
multi-arm manipulation
0.011992
Robust motion/force control of cooperative multi-arm systems · ICRA 1992
Robotics › Motion planning and robot control › robot control
robust control
0.011992
Robust motion/force control of cooperative multi-arm systems · ICRA 1992

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

nonlinear compensation · 0.0closed-chain dynamics modeling · 0.0
YearPublicationVenuePosition
1992 Robust motion/force control of cooperative multi-arm systems
abstract
The authors outline the development of a robust controller for the cooperative multiarm manipulation of a single object. Based on a derived model of closed-chain dynamic behavior, a controller consisting of nonlinear compensation terms together with an acceleration feedback structure is proposed. This controller has the property that it simultaneously regulates the motion response and the internal force response of the object, for a given class of reference signals, over a wide range of parameter variations of the system. The desired speed of response is obtained by online tuning of two controller parameters. The effectiveness of the proposed control method was demonstrated by a simulation of two three-link planar arms jointly manipulating a rigid bar.>
C. A. Derventzis, Edward J. Davison
ICRA1