EDBT 2026 Demo / reviewers in the wild / expert
Qikai Li
dblp:322/0814
· DBLP profile ↗
2ranked-venue papers
1as first author
2since 2021 · last 2024
—ORCID · conflict
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 2021Applied, interdisciplinary, general and emerging computing · 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 · 61% Robot manipulation · 30% Legged, aerial and field robots · 9% |
Topics — the 8 heaviest of 8, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Robot manipulation › mobile manipulation
legged manipulation |
0.8 | 1 | 2024 | Dynamic Interaction Control in Legged Mobile Manipulators: A Decoupled Approach · ICRA 2024 |
Robotics › Robot manipulation
mobile manipulation |
0.8 | 1 | 2024 | Dynamic Interaction Control in Legged Mobile Manipulators: A Decoupled Approach · ICRA 2024 |
Robotics › Motion planning and robot control › robot control
model predictive control |
0.8 | 1 | 2024 | Dynamic Interaction Control in Legged Mobile Manipulators: A Decoupled Approach · ICRA 2024 |
Robotics › Motion planning and robot control › robot control › model predictive control
nonlinear model predictive control |
0.8 | 1 | 2024 | Dynamic Interaction Control in Legged Mobile Manipulators: A Decoupled Approach · ICRA 2024 |
Robotics › Motion planning and robot control
robot control |
0.8 | 1 | 2024 | Dynamic Interaction Control in Legged Mobile Manipulators: A Decoupled Approach · ICRA 2024 |
Robotics › Motion planning and robot control
whole-body control |
0.8 | 1 | 2024 | Dynamic Interaction Control in Legged Mobile Manipulators: A Decoupled Approach · ICRA 2024 |
Robotics › Legged, aerial and field robots
legged robots |
0.2 | 1 | 2024 | Dynamic Interaction Control in Legged Mobile Manipulators: A Decoupled Approach · ICRA 2024 |
Robotics › Legged, aerial and field robots › legged robots › legged robot locomotion
quadruped locomotion |
0.2 | 1 | 2024 | Dynamic Interaction Control in Legged Mobile Manipulators: A Decoupled Approach · ICRA 2024 |
Methods — techniques the papers use, named apart from their topics
wrench estimation · 0.8nonlinear model predictive control · 0.8impedance control · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Dynamic Interaction Control in Legged Mobile Manipulators: A Decoupled ApproachabstractLegged mobile manipulators are receiving much more attention. Mobile platforms can infinitely expand the workspace of robotic arms, providing more possibilities for robot application scenarios. Compared with wheeled mobile manipulators, legged mobile manipulators have higher requirements for cooperative control of legged robots and robotic arms. This work decouples the control of the robotic arm and the legged robot. On the legged robot side, we explicitly estimate the wrench exerted by the robotic arm on the base and bring it into the legged robot’s dynamics, and then use a nonlinear model predictive controller (NMPC) to control the legged robot. On the robotics arm side, we adopt an impedance controller to realize the end-effector’s force control, and the introduction of impedance control has improved the safety and interactivity of legged mobile manipulators. We conducted experiments on physical robot to compare the differences between decoupled control and independent control, and the results show that the stability and robustness of robot systems have improved using decoupled control. Qikai Li, Qinchen Meng, Yuxing Qin, Xilun Ding, Kun Xu 0007 |
ICRA | 1 |
| 2022 | Rapid artificial intelligence solutions in a pandemic - The COVID-19-20 Lung CT Lesion Segmentation Challenge
Holger Roth, Ziyue Xu 0001, Carlos Tor-Díez, Ramon Sánchez-Jacob, Jonathan Zember, Jose Molto, Wenqi Li 0001, Sheng Xu 0001, Baris Turkbey, Evrim Turkbey, Dong Yang 0005, Ahmed Harouni, Nicola Rieke, Shishuai Hu, Fabian Isensee, Claire Tang, Qinji Yu, Jan Sölter, Vitali Liauchuk, Jan Hendrik Moltz, Bruno Oliveira 0002, Yong Xia 0001, Klaus H. Maier-Hein, Qikai Li, Andreas Husch, Vassili Kovalev, Alessa Hering, João L. Vilaça, Mona Flores, Daguang Xu, Bradford J. Wood, Marius George Linguraru |
Medical Image Anal. | 26 |