Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Shuai Zhang 0006

dblp:71/208-6 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
0since 2021 · last 2014
0000-0002-3029-9619ORCID · conflict

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 · 50% Motion planning and robot control · 50%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Legged, aerial and field robots › underwater robotics
biomimetic robot fish
0.212014
Development and CPG-based control of a biomimetic robotic fish with advanced underwater mobility · ICRA 2014
Robotics › Motion planning and robot control › locomotion control
central pattern generator control
0.212014
Development and CPG-based control of a biomimetic robotic fish with advanced underwater mobility · ICRA 2014
Robotics › Motion planning and robot control
robot control
0.212014
Development and CPG-based control of a biomimetic robotic fish with advanced underwater mobility · ICRA 2014
Robotics › Legged, aerial and field robots
underwater and field robotics
0.212014
Development and CPG-based control of a biomimetic robotic fish with advanced underwater mobility · ICRA 2014

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

hopf oscillator · 0.2four-bar mechanism · 0.2
YearPublicationVenuePosition
2014 Development and CPG-based control of a biomimetic robotic fish with advanced underwater mobility
abstract
This paper presents a biomimetic robotic fish that swims using thunniform kinematics for advanced underwater mobility. Propulsion and maneuvering of the robotic fish are achieved with a lunate caudal fin that undergoes combined translational and rotational motion. A parallel four-bar propulsive mechanism attached to the rear of the rigid torpedo-shaped body is used to deliver motor rotation to the caudal fin. Oscillatory control signals for the tail joints are generated with a CPG controller composed of two unidirectionally coupled Hopf oscillators. Coupling terms that allow direct specification of phase relation between oscillators are formulated. The maximum speed of the robotic fish can reach 2.0 m/s and excellent maneuverability has been exhibited. The outstanding swimming performances present exciting possibilities for real-world deployment of the robotic fish.
Yonghui Hu, Shuai Zhang 0006, Jianhong Liang, Tianmiao Wang
ICRA2