Demo Data from EDBT 2026 / reviewers in the wild / expert
Sumian Song
dblp:173/0366
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Legged, aerial and field robots › legged robots › legged robot locomotion
bipedal locomotion |
0.5 | 1 | 2021 | A Capturability-based Control Framework for the Underactuated Bipedal Walking * · ICRA 2021 |
Robotics › Motion planning and robot control › robot control › gait control
foot placement |
0.5 | 1 | 2021 | A Capturability-based Control Framework for the Underactuated Bipedal Walking * · ICRA 2021 |
Robotics › Motion planning and robot control
robot control |
0.5 | 1 | 2021 | 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 |
0.5 | 1 | 2021 | 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 |
0.5 | 1 | 2021 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2021 | A Capturability-based Control Framework for the Underactuated Bipedal Walking *abstractThis 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 |
ICRA | 2 |