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Arthur Seibel

dblp:135/7722 · DBLP profile ↗
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3ranked-venue papers
0as first author
0since 2021 · last 2018
0000-0003-3989-9626ORCID · corroborated

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

Artificial intelligence and machine learning · 3Systems, architecture and hardware · 3

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 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control › robot kinematics
forward kinematics
0.312018
Closed-form Solution for the Direct Kinematics Problem of the Planar 3-RPR Parallel Mechanism · ICRA 2018
Robotics › Motion planning and robot control › robot kinematics
parallel manipulator kinematics
0.312018
Closed-form Solution for the Direct Kinematics Problem of the Planar 3-RPR Parallel Mechanism · ICRA 2018

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

closed-form solution · 0.3
YearPublicationVenuePosition
2018 Closed-form Solution for the Direct Kinematics Problem of the Planar 3-RPR Parallel Mechanism
abstract
In general, it is not possible to determine the actual manipulator platform's pose of a parallel mechanism from its active joints' coordinates. This problem is usually solved by using additional numerical procedures or by additional system information from auxiliary sensors, providing several weaknesses including initial pose estimations, reference drives, or workspace limitations. In this paper, we therefore introduce a closed-form solution for the direct kinematics problem of the planar 3-RPR parallel mechanism by using only the orientations of two active joints and the manipulator platform, where P denotes active prismatic joints and R passive revolute joints.
Stefan Schulz 0005, Arthur Seibel, Josef Schlattmann
ICRA2
2018 Performance of an IMU-Based Sensor Concept for Solving the Direct Kinematics Problem of the Stewart-Gough Platform
abstract
The direct kinematics problem of the Stewart-Gough platform can be solved by measuring the manipulator platform's orientation and two of the linear actuators' orientations instead of the six linear actuators' lengths. In this paper, the effect of measurement errors on the calculated manipulator platform's pose is investigated using the Cramer-Ran lower bound and extensive experiments on a state-of-the-art Stewart-Gough platform. Furthermore, different algorithms and filters for one-time as well as continuous pose determinations are investigated. Finally, possible sensor fusion concepts for the one-time pose determination are presented to increase the robustness against noise and measurement errors.
Stefan Schulz 0005, Arthur Seibel, Josef Schlattmann
IROS2
2017 Sensor concept for solving the direct kinematics problem of the Stewart-Gough platform
abstract
One of the main tasks in robotics is to precisely connect the robot's coordinate system with the world's coordinate system. For parallel mechanisms, this is a challenging task due to the direct kinematics problem, which is usually solved by using iterative algorithms to search for the mobile platform's position and orientation or by adding auxiliary sensors. In this paper, a sensor concept for solving the direct kinematics problem of the Stewart-Gough platform is presented where only three inertial measurement units are used with the aim to renounce length sensors as well as initial and, in some cases, external pose measurements.
Stefan Schulz 0005, Arthur Seibel, Daniel Schreiber, Josef Schlattmann
IROS2