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Junjie Yang 0012

dblp:41/3461-12 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2021
0000-0003-4461-5317ORCID · verified

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 · 67% Legged, aerial and field robots · 33%

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 › compliant motion control
active compliance control
0.512021
Impact Mitigation for Dynamic Legged Robots with Steel Wire Transmission Using Nonlinear Active Compliance Control · ICRA 2021
Robotics › Motion planning and robot control › robot control
compliant motion control
0.512021
Impact Mitigation for Dynamic Legged Robots with Steel Wire Transmission Using Nonlinear Active Compliance Control · ICRA 2021
Robotics › Legged, aerial and field robots › locomotion
dynamic locomotion
0.512021
Impact Mitigation for Dynamic Legged Robots with Steel Wire Transmission Using Nonlinear Active Compliance Control · ICRA 2021
Robotics › Motion planning and robot control › robot control
impedance control
0.512021
Impact Mitigation for Dynamic Legged Robots with Steel Wire Transmission Using Nonlinear Active Compliance Control · ICRA 2021
Robotics › Legged, aerial and field robots › legged robots
legged robot locomotion
0.512021
Impact Mitigation for Dynamic Legged Robots with Steel Wire Transmission Using Nonlinear Active Compliance Control · ICRA 2021
Robotics › Motion planning and robot control
robot control
0.512021
Impact Mitigation for Dynamic Legged Robots with Steel Wire Transmission Using Nonlinear Active Compliance Control · ICRA 2021

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

nonlinear active compliance control · 0.5feedforward control · 0.5active impedance control · 0.5
YearPublicationVenuePosition
2021 Impact Mitigation for Dynamic Legged Robots with Steel Wire Transmission Using Nonlinear Active Compliance Control
abstract
Impact mitigation is crucial to the stable locomotion of legged robots, especially in high-speed dynamic locomotion. This paper presents a leg locomotion system, including the nonlinear active compliance control and the active impedance control for the steel wire transmission-based legged robot. The developed control system enables high-speed dynamic locomotion with excellent impact mitigation and leg position tracking performance, where three strategies are applied. a) The feed-forward controller is designed according to the linear motor-leg model with the information of Coulomb friction and viscous friction. b) Steel wire transmission model-based compensation guarantees ideal virtual spring compliance characteristics. c) Nonlinear active compliance control and active impedance control ensure better impact mitigation performance than linear scheme and guarantee position tracking performance. The proposed control system is verified on a real robot named SCIT Dog, and the experiment demonstrates the ideal impact mitigation ability in high-speed dynamic locomotion without any passive spring mechanism.
Junjie Yang 0012, Changhong Wang 0003
ICRA1