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Sumian Song

dblp:173/0366 · DBLP profile ↗
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1ranked-venue papers
0as 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 since 2021Systems, architecture and hardware · 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
Motion planning and robot control · 60% Legged, aerial and field robots · 40%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Legged, aerial and field robots › legged robots › legged robot locomotion
bipedal locomotion
0.512021
A Capturability-based Control Framework for the Underactuated Bipedal Walking * · ICRA 2021
Robotics › Motion planning and robot control › robot control › gait control
foot placement
0.512021
A Capturability-based Control Framework for the Underactuated Bipedal Walking * · ICRA 2021
Robotics › Motion planning and robot control
robot control
0.512021
A Capturability-based Control Framework for the Underactuated Bipedal Walking * · ICRA 2021
Robotics › Legged, aerial and field robots › legged robots › legged robot locomotion › bipedal locomotion
underactuated bipedal walking
0.512021
A Capturability-based Control Framework for the Underactuated Bipedal Walking * · ICRA 2021
Robotics › Motion planning and robot control › robot control › motion control
virtual constraint control
0.512021
A Capturability-based Control Framework for the Underactuated Bipedal Walking * · ICRA 2021

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

virtual constraints · 0.5poincaré map · 0.5heuristic foot placement adjustment · 0.5
YearPublicationVenuePosition
2021 A Capturability-based Control Framework for the Underactuated Bipedal Walking *
abstract
This work considers the control of underactuated bipedal walking, and a novel capturability-based control framework is presented. Compared with traditional approaches, the presented control method does not rely on the use of the Poincaré map, which may take significant computational cost. Firstly, a new definition of stable walking is presented, and a novel foot-placement based control method is proposed. Then, a controller design method is presented based on this control method. For the controller design, the foot placement adjustment is achieved by updating the virtual constraints using a heuristic method, and an improved virtual constraint control method is proposed to enforce the virtual constraints. Finally, the effectiveness of the presented control framework is illustrated on a five-link underactuated planar biped by numerical simulations.
Haihui Yuan, Sumian Song, Ruilong Du, Shiqiang Zhu, Jason Gu, Mingguo Zhao, Jianxin Pang
ICRA2