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Helge Kuebler

dblp:05/3921 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2008
—ORCID · none

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

Artificial intelligence and machine learning · 1Systems, architecture and hardware · 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 4 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control › trajectory planning
differential flatness
0.112008
Differentially flat design of under-actuated planar robots: Experimental results · ICRA 2008
Robotics › Motion planning and robot control
manipulator control
0.112008
Differentially flat design of under-actuated planar robots: Experimental results · ICRA 2008
Robotics › Motion planning and robot control › robot control
trajectory tracking
0.112008
Differentially flat design of under-actuated planar robots: Experimental results · ICRA 2008
Robotics › Motion planning and robot control › robot control
underactuated systems
0.112008
Differentially flat design of under-actuated planar robots: Experimental results · ICRA 2008

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

trajectory planning · 0.1differential flatness · 0.1
YearPublicationVenuePosition
2008 Differentially flat design of under-actuated planar robots: Experimental results
abstract
Control of nonlinear under-actuated systems is an area of ongoing research. In certain applications, under- actuated systems are unavoidable. For instance, a biped can not have an actuator between the foot and the ground. In industrial robots, under-actuation can minimize cost and dead weight. Differential flatness, if applicable, provides a systematic approach to plan and control feasible trajectories for such systems. Recently, the authors have formulated a philosophy to design under-actuated planar manipulators that are differentially flat [1]. The design philosophy has two sufficient conditions: (i) an inertia distribution scheme, and (ii) an actuator and torque spring placement scheme. The philosophy covers a broad range of n-DOF manipulator designs with the degree of under- actuation varying from 1 to n - 1 as opposed to under-actuation by one or two in most of the literature on under-actuated manipulators. This paper presents a 3-DOF planar manipulator designed on the basis of this philosophy and an experimental study of controllers based on its differential flatness property. It is demonstrated experimentally that the differential flatness based controllers are able to track the desired trajectories with small tracking errors even in the presence disturbances like friction, parameter uncertainty etc. It is shown via simulation that the errors observed in the trajectories can be attributed to the friction present at the unactuated joint.
Vivek Sangwan, Helge Kuebler, Sunil K. Agrawal
ICRA2