Arend L. Schwab

dblp:42/2274 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2007
0000-0001-5897-9790ORCID · verified

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

Applied, interdisciplinary, general and emerging computing · 2

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 · 75% Motion planning and robot control · 25%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Legged, aerial and field robots
bipedal robot
0.122007
Adding an Upper Body to Passive Dynamic Walking Robots by Means of a Bisecting Hip Mechanism · IEEE Trans. Robotics 2007
How to keep from falling forward: elementary swing leg action for passive dynamic walkers · IEEE Trans. Robotics 2005
Robotics › Legged, aerial and field robots
passive dynamic walking
0.122007
Adding an Upper Body to Passive Dynamic Walking Robots by Means of a Bisecting Hip Mechanism · IEEE Trans. Robotics 2007
How to keep from falling forward: elementary swing leg action for passive dynamic walkers · IEEE Trans. Robotics 2005
Robotics › Legged, aerial and field robots › legged robots
legged robot locomotion
0.112007
Adding an Upper Body to Passive Dynamic Walking Robots by Means of a Bisecting Hip Mechanism · IEEE Trans. Robotics 2007
Robotics › Motion planning and robot control › robot control
stability control
0.112005
How to keep from falling forward: elementary swing leg action for passive dynamic walkers · IEEE Trans. Robotics 2005
Robotics › Motion planning and robot control › locomotion control › legged robot control
swing leg control
0.112005
How to keep from falling forward: elementary swing leg action for passive dynamic walkers · IEEE Trans. Robotics 2005

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

prototype design · 0.1dynamic simulation · 0.1poincaré map analysis · 0.1basin of attraction · 0.1
YearPublicationVenuePosition
2007 Adding an Upper Body to Passive Dynamic Walking Robots by Means of a Bisecting Hip Mechanism
abstract
Passive dynamic walking is a promising idea for the development of simple and efficient two-legged walking robots. One of the difficulties with this concept is the addition of a stable upper body; on the one hand, a passive swing leg motion must be possible, whereas on the other hand, the upper body (an inverted pendulum) must be stabilized via the stance leg. This paper presents a solution to the problem in the form of a bisecting hip mechanism. The mechanism is studied with a simulation model and a prototype based on the concept of passive dynamic walking. The successful walking results of the prototype show that the bisecting hip mechanism forms a powerful ingredient for stable, simple, and efficient bipeds
Martijn Wisse, Daan G. E. Hobbelen, Arend L. Schwab
IEEE Trans. Robotics3
2005 How to keep from falling forward: elementary swing leg action for passive dynamic walkers
abstract
Stability control for walking bipeds has been considered a complex task. Even two-dimensional fore-aft stability in dynamic walking appears to be difficult to achieve. In this paper we prove the contrary, starting from the basic belief that in nature stability control must be the sum of a number of very simple rules. We study the global stability of the simplest walking model by determining the basin of attraction of the Poincare/spl acute/ map of this model. This shows that the walker, although stable, can only handle very small disturbances. It mostly falls, either forward or backward. We show that it is impossible for any form of swing leg control to solve backward falling. For the problem of forward falling, we devise a simple but very effective rule for swing leg action: "You will never fall forward if you put your swing leg fast enough in front of your stance leg. In order to prevent falling backward the next step, the swing leg shouldn't be too far in front." The effectiveness of this rule is demonstrated with our prototype "Mike.".
Martijn Wisse, Arend L. Schwab, Richard Quint van der Linde, Frans C. T. van der Helm
IEEE Trans. Robotics2