Demo Data from SIGIR 2026 / reviewers in the wild / expert
Zixin Que
dblp:318/0527
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2022
0009-0005-4816-7533ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Applied, 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 |
Robot manipulation · 72% Motion planning and robot control · 28% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Motion planning and robot control
robot control |
0.6 | 1 | 2022 | Spherical Wrist With Hybrid Motion-Impedance Control for Enhanced Robotic Manipulations · IEEE Trans. Robotics 2022 |
Robotics › Robot manipulation › robot design
robotic wrist design |
0.6 | 1 | 2022 | Spherical Wrist With Hybrid Motion-Impedance Control for Enhanced Robotic Manipulations · IEEE Trans. Robotics 2022 |
Robotics › Robot manipulation › robot design › robotic wrist design
spherical wrist |
0.6 | 1 | 2022 | Spherical Wrist With Hybrid Motion-Impedance Control for Enhanced Robotic Manipulations · IEEE Trans. Robotics 2022 |
Robotics › Robot manipulation
compliant interaction |
0.2 | 1 | 2022 | Spherical Wrist With Hybrid Motion-Impedance Control for Enhanced Robotic Manipulations · IEEE Trans. Robotics 2022 |
Robotics › Robot manipulation
physical human-robot interaction |
0.2 | 1 | 2022 | Spherical Wrist With Hybrid Motion-Impedance Control for Enhanced Robotic Manipulations · IEEE Trans. Robotics 2022 |
Methods — techniques the papers use, named apart from their topics
sliding mode control · 0.6disturbance observer · 0.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | Spherical Wrist With Hybrid Motion-Impedance Control for Enhanced Robotic ManipulationsabstractThis article presents a back-drivable spherical wrist with smart compliance for rendering human wrist-like capabilities in robotic applications. In order to synthetically impose both motion accuracy and active compliance for dedicated wrist manipulations, a robust hybrid control method is proposed that can switch between motion control (at free motion) and impedance control (at interactions with the environment). A sliding manifold is formulated so that when the control law drives the sliding manifold to zero, the motion/impedance errors will automatically converge to bounded regions despite system uncertainties/inaccuracies. Due to the direct-drive configuration of the proposed spherical wrist, the contact torque can be precisely estimated with an observer, providing an intuitive criterion of contact based on which the control modes can switch autonomously without external force/torque sensors and predefined geometric boundaries that are usually required in conventional hybrid force/position control. The concept is validated on a spherical wrist test-bed in the context of a throat swabbing process. The performance of the hybrid motion-impedance control evaluated against conventional impedance and admittance control methods demonstrate that the proposed spherical wrist enables a robotic system with both fine manipulations and smooth compliant interactions in wrist space. Kok-Meng Lee, Zixin Que |
IEEE Trans. Robotics | 4 |