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Patrick Frank

dblp:222/4038 · DBLP profile ↗
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2ranked-venue papers
0as first author
1since 2021 · last 2025
—ORCID · none

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

Artificial intelligence and machine learning · 1 · 1 since 2021Systems, architecture and hardware · 1 · 1 since 2021Applied, 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 · 62% Robot manipulation · 38%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control › robot control
force control
0.912025
Highly Dynamic Physical Interaction for Robotics: Design and Control of an Active Remote Center of Compliance · ICRA 2025
Robotics › Robot manipulation
grasping
0.912025
Highly Dynamic Physical Interaction for Robotics: Design and Control of an Active Remote Center of Compliance · ICRA 2025
Robotics › Motion planning and robot control › robot control › compliant motion control
hybrid position/force control
0.312025
Highly Dynamic Physical Interaction for Robotics: Design and Control of an Active Remote Center of Compliance · ICRA 2025
Robotics › Motion planning and robot control
robot control
0.312025
Highly Dynamic Physical Interaction for Robotics: Design and Control of an Active Remote Center of Compliance · ICRA 2025

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

surrogate modeling · 0.9dynamic simulation · 0.9
YearPublicationVenuePosition
2025 Highly Dynamic Physical Interaction for Robotics: Design and Control of an Active Remote Center of Compliance
abstract
Robot interaction control is often limited to low dynamics or low flexibility, depending on whether an active or passive approach is chosen. In this work, we introduce a hybrid control scheme that combines the advantages of active and passive interaction control. To accomplish this, we propose the design of a novel Active Remote Center of Compliance (ARCC), which is based on a passive and active element which can be used to directly control the interaction forces. We introduce surrogate models for a dynamic comparison against purely robot-based interaction schemes. In a comparative validation, ARCC drastically improves the interaction dynamics, leading to an increase in the motion bandwidth of up to 31 times. We introduce further our control approach as well as the integration in the robot controller. Finally, we analyze ARCC on different industrial benchmarks like peg-in-hole, top-hat rail assembly and contour following problems and compare it against the state of the art, to highlight the dynamic and flexibility. The proposed system is especially suited if the application requires a low cycle time combined with a sensitive manipulation.
Christian Friedrich, Patrick Frank, Marco Santin, Matthias Haag
ICRA2
2018 Modular Human-Computer Interaction Platform on Mobile Devices for Distributed Development
Sebastian Ritterbusch, Patrick Frank, Vanessa Petrausch
ICCHP (1)2