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Guoxiang Fu

dblp:304/4244 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2021
—ORCID · unresolved

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

Artificial intelligence and machine learning · 1 · 1 first-author · 1 since 2021Systems, architecture and hardware · 1 · 1 first-author · 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
Robot manipulation · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation › actuator design › compliant actuator
backdrivability
0.512021
Mechatronic Design of A Low-Noise Active Knee Prosthesis with High Backdrivability · ICRA 2021
Robotics › Robot manipulation › wearable robotics
prosthetic device
0.512021
Mechatronic Design of A Low-Noise Active Knee Prosthesis with High Backdrivability · ICRA 2021

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

synchronous belt transmission · 0.5
YearPublicationVenuePosition
2021 Mechatronic Design of A Low-Noise Active Knee Prosthesis with High Backdrivability
abstract
In this paper, we present a low-damping active knee prosthesis (LDKP) with low noise and high backdrivability. The proposed prosthesis is driven by a motor and then decelerated by a four-stage synchronous belt. High backdrivability given by this structure accelerates the prosthetic response. A control system containing several sensors are embedded in the proposed prosthesis to recognize different modes and provide corresponding strategies. Preliminary experiments were carried out on a transfemoral amputee subject, demonstrating the features of low noise, high backdrivability and ability to reproduce natural walking gaits.
Guoxiang Fu, Jinying Zhu, Jingeng Mai, Qining Wang
ICRA1