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Rui Ding 0006

dblp:55/5564-6 · DBLP profile ↗
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2ranked-venue papers
2as first author
0since 2021 · last 2011
—ORCID · conflict

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

Artificial intelligence and machine learning · 2 · 2 first-authorSystems, architecture and hardware · 2 · 2 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
1 paper
Motion planning and robot control · 61% Legged, aerial and field robots · 30% Robot navigation and mapping · 9%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Legged, aerial and field robots › locomotion
amphibious robot locomotion
0.112011
CPG-based behavior design and implementation for a biomimetic amphibious robot · ICRA 2011
Robotics › Motion planning and robot control › locomotion control
central pattern generator
0.112011
CPG-based behavior design and implementation for a biomimetic amphibious robot · ICRA 2011
Robotics › Motion planning and robot control › robot control
gait control
0.112011
CPG-based behavior design and implementation for a biomimetic amphibious robot · ICRA 2011

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

sensory feedback · 0.1finite state machine · 0.1
YearPublicationVenuePosition
2011 CPG-based behavior design and implementation for a biomimetic amphibious robot
abstract
This paper presents the behavior design and multimodal locomotion control of a biomimetic amphibious robot based on a bio-inspired CPG (central pattern generator). A set of four key parameters are introduced serving as external stimuli to shape the CPG rhythmic activities where necessary speed and orientation modulation as well as 3-D locomotion can be obtained. In terms of the built parameter set, a library of movement primitives based on finite state machine is established to facilitate rapid and smooth gait transitions. To enhance adaptive behaviors, well-integrated sensory feedback by means of two liquid-level detectors enables the gait transition between ground and water autonomously. Simulations and experiments are also conducted to demonstrate the feasibility of a behavior based control architecture governed by CPGs.
Rui Ding 0006, Junzhi Yu 0001, Qinghai Yang, Min Tan 0001, Jianwei Zhang 0001
ICRA1
2010 Robust gait control in biomimetic amphibious robot using central pattern generator
abstract
This paper presents a control architecture for the underwater locomotion control of a biomimetic amphibious robot with multi-mobility mechanism. In view of both hydrodynamic problem and engineering approach, we develop a robotic prototype capable of multi-mode motion. A robust gait control for steady swimming using the central pattern generator (CPG) is proposed and has been successfully applied to the robot. The CPG can produce coordinated patterns of rhythmic activity while being simply modulated by control parameters including input drive, frequency, amplitude, threshold, etc., which will be suitable for manually interactive modulation. Using the CPG model, the robot is capable of performing and switching between various locomotion modes such as swimming forwards and backwards, turning and pitching, with the speed, direction and gait types modulated accordingly. A test-bed is provided and results are presented demonstrating interesting properties of the CPG-based control approach and feasibility of the CPG control for efficient propulsion.
Rui Ding 0006, Junzhi Yu 0001, Qinghai Yang, Min Tan 0001, Jianwei Zhang 0001
IROS1