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Yuhan Li 0007

dblp:116/8661-7 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2024
0009-0005-0713-1446ORCID · verified

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

Applied, interdisciplinary, general and emerging computing · 1 · 1 since 2021

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 · 67% Legged, aerial and field robots · 33%

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

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control › robot kinematics
kinematic modeling
0.812024
A General Kinematic Model of Fish Locomotion Enables Robot Fish to Master Multiple Swimming Motions · IEEE Trans. Robotics 2024
Robotics › Motion planning and robot control
robot control
0.812024
A General Kinematic Model of Fish Locomotion Enables Robot Fish to Master Multiple Swimming Motions · IEEE Trans. Robotics 2024
Robotics › Legged, aerial and field robots › underwater robotics
robotic fish locomotion
0.812024
A General Kinematic Model of Fish Locomotion Enables Robot Fish to Master Multiple Swimming Motions · IEEE Trans. Robotics 2024

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

traveling wave equation · 0.8nonlinear oscillator · 0.8
YearPublicationVenuePosition
2024 A General Kinematic Model of Fish Locomotion Enables Robot Fish to Master Multiple Swimming Motions
abstract
Fish locomotion which adopts body and/or caudal fin swimming mode consists of different motions, such as Cruising-straight, Cruising-turn, and various fast turns, among others. Currently, there is no single mathematical model that could illustrate all these motions. Thus, for scientists and engineers, it is quite cumbersome and complicated to model and control different motions with multiple principles. In this article, we proposed a general kinematic model to illustrate the kinematics of all aforementioned swimming motions. The model is synthesized by a nonlinear oscillator and a traveling wave equation. By changing four parameters extracted from the model, the kinematic model can demonstrate all the aforementioned swimming motions with different amplitudes and frequencies. To verify the model, we built a multijoint robotic fish and developed its dynamic model and control method to perform all the maneuvers under the guidance of the general kinematic model. Through this systematic methodology, one can easily study the principles of different swimming motions and design the multimotions controller for a robotic fish through only one governing kinematic model.
Yong Zhong, Zicun Hong, Yuhan Li 0007, Junzhi Yu 0001
IEEE Trans. Robotics3