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Xiaozhou Fu

dblp:135/8216 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2013
—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
Legged, aerial and field robots · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Legged, aerial and field robots › undulatory locomotion
sidewinding
0.212013
Extended gait equation for sidewinding · ICRA 2013
Robotics › Legged, aerial and field robots › bio-inspired robot
snake robot
0.212013
Extended gait equation for sidewinding · ICRA 2013
Robotics › Legged, aerial and field robots
gait generation
0.012013
Extended gait equation for sidewinding · ICRA 2013

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

geometric modeling · 0.2fast fourier transform · 0.2
YearPublicationVenuePosition
2013 Extended gait equation for sidewinding
abstract
Sidewinding is an efficient translational gait used by biological snakes to locomote over flat ground. Prior work has identified the fact that it is possible to steer the moving direction of sidewinding. The previously proposed virtual tread model reveals the working principal of sidewinding from a geometric point of view. Unfortunately, the implementation of the virtual tread model relied on a computationally expensive numerical fitting algorithm that impeded online applications. Motivated by this limitation, in this work we propose a novel approach to develop analytical expressions for snake robot gaits based on the study of the corresponding geometric model. This approach is rooted in the identification of dominant frequency components afforded by the two-dimensional Fast Fourier Transformation (FFT). Applying this method to the virtual tread model for conical sidewinding, we derive an analytical expression between the parameters that describe the gait's motion and the turning radius of the system moving in the world. This analytical expression, which we call the extended gait equation, is verified by experimental results.
Chaohui Gong, Matthew J. Travers, Xiaozhou Fu, Howie Choset
ICRA3