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Xiaolong Quan

dblp:330/7557 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2022
—ORCID · unresolved

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
Legged, aerial and field robots · 57% Motion planning and robot control · 38% Robot manipulation · 6%

Topics — the 6 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control › robot control
gait control
0.612022
Development of a Small-Sized Quadruped Robotic Rat Capable of Multimodal Motions · IEEE Trans. Robotics 2022
Robotics › Legged, aerial and field robots
legged robots
0.612022
Development of a Small-Sized Quadruped Robotic Rat Capable of Multimodal Motions · IEEE Trans. Robotics 2022
Robotics › Legged, aerial and field robots › locomotion
multimodal locomotion
0.612022
Development of a Small-Sized Quadruped Robotic Rat Capable of Multimodal Motions · IEEE Trans. Robotics 2022
Robotics › Legged, aerial and field robots › legged robots
quadruped robot
0.612022
Development of a Small-Sized Quadruped Robotic Rat Capable of Multimodal Motions · IEEE Trans. Robotics 2022
Robotics › Motion planning and robot control
robot control
0.612022
Development of a Small-Sized Quadruped Robotic Rat Capable of Multimodal Motions · IEEE Trans. Robotics 2022
Robotics › Robot manipulation › robot design
bio-inspired robot design
0.212022
Development of a Small-Sized Quadruped Robotic Rat Capable of Multimodal Motions · IEEE Trans. Robotics 2022

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

optimization · 0.6
YearPublicationVenuePosition
2022 Development of a Small-Sized Quadruped Robotic Rat Capable of Multimodal Motions
abstract
Legged robots are very promising for use in real-world applications, but their operation in narrow spaces is still challenging. One solution for enhancing their environmental adaptability is to design a small-sized biomimetic robot capable of performing multiple motions. By capturing a decent representation of an actual rat (rattus norvegicus), we developed a small-sized quadruped robotic rat (SQuRo), which includes four limbs and one flexible spine. On the basis of the extracted key movement joints, SQuRo was subtly designed with a relatively elongated slim body (aspect ratio: 3.42) and smaller weight (220 g) compared with quadruped robots of the same scale. Accordingly, we propose a control framework for multimodal motion planning, and the appropriate control parameters were tuned through optimization with consideration to the stability and actuation limits. The results obtained through a series of experimental tests reveal that SQuRo achieves a superior motion performance compared with existing state-of-the-art small-sized quadruped robots. Remarkably, SQuRo has an extremely small turning radius (0.48 BL) and strong payload capacity (200 g), and it can recover from falls.
Shengjie Wang 0002, Xiaolong Quan, Guanglu Jia, Qiang Huang 0002, Toshio Fukuda
IEEE Trans. Robotics4