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Franz Christange

dblp:139/3747 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 2015
—ORCID · none

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

Artificial intelligence and machine learning · 2 · 1 first-authorSystems, architecture and hardware · 2 · 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 · 100%
Human-computer interaction and pervasive computing
1 paper
Human-robot interaction · 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
0.212015
Energy control for complex pendulums based on tracking of online computed force trajectories · ICRA 2015
Robotics › Motion planning and robot control › robot control › underactuated systems
swing-up control
0.212015
Energy control for complex pendulums based on tracking of online computed force trajectories · ICRA 2015
Human-robot interaction
physical human-robot interaction
0.112015
Energy control for complex pendulums based on tracking of online computed force trajectories · ICRA 2015

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

virtual reality · 0.4force trajectory tracking · 0.4
YearPublicationVenuePosition
2015 Energy control for complex pendulums based on tracking of online computed force trajectories
abstract
In this paper we propose to track online computed force trajectories to control the energy of various types of pendulum-like objects. The considered pendulum-like objects can be controlled by multiple agents and swing in different oscillation degrees of freedom. Our goal is to excite one specific oscillation, the intended oscillation, while damping all other disturbance oscillations. By approximating the intended oscillation as a simple pendulum oscillation, we can specify a desired force trajectory. Tracking of this force trajectory results in a controlled swing-up of the intended oscillation accompanied by a simultaneous damping of the disturbance oscillations. Simulation experiments with a two-agent trapezoidal pendulum show convincing control performance. A human-robot virtual reality experiment shows the transferability of the control approach to a human interaction partner. The limitations of the approach are discussed based on simulation results obtained for a single-agent double pendulum.
Franz Christange, Philine Donner, Martin Buss
ICRA1
2013 Human-robot cooperative swinging of complex pendulum-like objects
abstract
This paper investigates human-robot cooperative swinging of a complex pendulum-like object. The complexity of the object results in two possible swinging modes. The goal is to excite one mode such that a desired energy level of the pendulum is reached while simultaneously damping the other mode. The energy based control concept relies on the projection of the complex mechanism onto an abstract simple pendulum with two-sided actuation. An actively contributing robot leader and robot follower are implemented. The controller performance is analyzed through simulations. A virtual reality experiment shows the transferability of the control approach to a human interaction partner.
Philine Donner, Franz Christange, Martin Buss
IROS2