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Peter Eckert

dblp:03/726 · DBLP profile ↗
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2ranked-venue papers
2as first author
0since 2021 · last 2019
0000-0003-3569-8528ORCID · corroborated

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-authorApplied, interdisciplinary, general and emerging computing · 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
2 papers
Legged, aerial and field robots · 96% Robot manipulation · 4%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Performance modeling and evaluation · 100%

Topics — the 7 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Legged, aerial and field robots
legged robots
0.622019
Benchmarking Agility For Multilegged Terrestrial Robots · IEEE Trans. Robotics 2019
Comparing the effect of different spine and leg designs for a small bounding quadruped robot · ICRA 2015
Robotics › Legged, aerial and field robots › legged robots › legged robot locomotion
multilegged locomotion
0.412019
Benchmarking Agility For Multilegged Terrestrial Robots · IEEE Trans. Robotics 2019
Performance modeling and evaluation
benchmarking
0.412019
Benchmarking Agility For Multilegged Terrestrial Robots · IEEE Trans. Robotics 2019
Robotics › Legged, aerial and field robots › legged robots
quadruped bounding
0.212015
Comparing the effect of different spine and leg designs for a small bounding quadruped robot · ICRA 2015
Robotics › Legged, aerial and field robots › legged robots
quadruped robot
0.212015
Comparing the effect of different spine and leg designs for a small bounding quadruped robot · ICRA 2015
Robotics › Legged, aerial and field robots
bio-inspired robot
0.112019
Benchmarking Agility For Multilegged Terrestrial Robots · IEEE Trans. Robotics 2019
Robotics › Robot manipulation › robot design
modular robot design
0.112015
Comparing the effect of different spine and leg designs for a small bounding quadruped robot · ICRA 2015

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

normalized benchmarking · 0.8fitness function · 0.8simulation · 0.2
YearPublicationVenuePosition
2019 Benchmarking Agility For Multilegged Terrestrial Robots
abstract
In this paper, we present a novel and practical approach for benchmarking agility. We focus on terrestrial, multilegged locomotion in the field of bio-inspired robotics. We define agility as the ability to perform a set of different but specific tasks executed in a fast and efficient manner. This definition is inspired by the analysis of natural role models, such as dogs and horses as well as robotic systems. An evaluation of existing benchmarks in robotics is done and taken into account in our proposed benchmark. After the general definition, the actual normalized benchmarking values are defined, and measuring methods, as well as an online database for agility score collection and distribution, are presented. To provide a baseline for agile locomotion, various videos of dog-agility competitions were analyzed and agility scores calculated wherever applicable. Finally, validation and implementation of the benchmark are done with different robots directly available to the authors. In conclusion, our benchmark will enable researchers not only to compare existing robots and find out strengths and weaknesses in different design approaches, but also give a tool to define new fitness functions for optimization, learning processes, and future robots developments, intensifying the links between biology and technology even further.
Peter Eckert, Auke Jan Ijspeert
IEEE Trans. Robotics1
2015 Comparing the effect of different spine and leg designs for a small bounding quadruped robot
abstract
We present Lynx-robot, a quadruped, modular, compliant machine. It alternately features a directly actuated, single-joint spine design, or an actively supported, passive compliant, multi-joint spine configuration. Both spine configurations bend in the sagittal plane. This study aims at characterizing these two, largely different spine concepts, for a bounding gait of a robot with a three segmented, pantograph leg design. An earlier, similar-sized, bounding, quadruped robot named Bobcat with a two-segment leg design and a directly actuated, single-joint spine design serves as a comparison robot, to study and compare the effect of the leg design on speed, while keeping the spine design fixed. Both proposed spine designs (single rotatory and active and multi-joint compliant) reach moderate, self-stable speeds.
Peter Eckert, Alexander Badri-Spröwitz, Hartmut Witte, Auke Jan Ijspeert
ICRA1