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Hongyuan Ren

dblp:304/4131 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2021
—ORCID · none

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
Motion planning and robot control · 50% Legged, aerial and field robots · 50%
Human-computer interaction and pervasive computing
1 paper
Health and well-being technologies · 100%

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

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control
robot control
0.512021
Modeling and Simulation of Running Expansion with Trunk and Pelvic Rotation Assist Suit · ICRA 2021
Robotics › Legged, aerial and field robots › legged robots › legged robot locomotion
spring-loaded inverted pendulum
0.512021
Modeling and Simulation of Running Expansion with Trunk and Pelvic Rotation Assist Suit · ICRA 2021
Health and well-being technologies › physical activity promotion
running support
0.512021
Modeling and Simulation of Running Expansion with Trunk and Pelvic Rotation Assist Suit · ICRA 2021

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

spring-loaded inverted pendulum model · 1.0parametric simulation · 1.0
YearPublicationVenuePosition
2021 Modeling and Simulation of Running Expansion with Trunk and Pelvic Rotation Assist Suit
abstract
Human running motion is a complex motion that not only based on the movement of legs but also needs the entire body to participate in. Therefore, we focused on the upper body, designed a trunk and pelvic rotation assist suit to apply an external force on the chest and pelvis for assisting the running motion, changing the energy flow between the upper and lower body to improve the running efficiency. However, human motion is very complicated and difficult to analyze, it is hard to explore the specific effect of the external force which is provided by the rotation assist suit on human motion. In this paper, we proposed an advanced spring-loaded inverted pendulum model for simulating the human running motion in natural running status and expanded running status in which the motion is expanded by wearing the trunk and pelvic rotation assist suit, parametrically represent the changes of human due to the intervention of the external force, and discuss the effect of the external assistant force on the human running motion.
Hongyuan Ren, Takayuki Tanaka, Akihiko Murai
ICRA1