Demo Data from SIGIR 2026 / reviewers in the wild / expert
Linliang Zheng
dblp:383/4442
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2024
—ORCID · unresolved
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.
| Human-computer interaction and pervasive computing
1 paper |
Health and well-being technologies · 100% | |
| Artificial intelligence
1 paper |
Robot manipulation · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Health and well-being technologies › rehabilitation technology
rehabilitation robotics |
0.8 | 1 | 2024 | Design and Evaluation of a Reconfigurable 7-DOF Upper Limb Rehabilitation Exoskeleton with Gravity Compensation · ICRA 2024 |
Health and well-being technologies › rehabilitation technology › rehabilitation robotics
upper limb exoskeleton |
0.8 | 1 | 2024 | Design and Evaluation of a Reconfigurable 7-DOF Upper Limb Rehabilitation Exoskeleton with Gravity Compensation · ICRA 2024 |
Robotics › Robot manipulation › wearable robotics › exoskeleton
exoskeleton design |
0.2 | 1 | 2024 | Design and Evaluation of a Reconfigurable 7-DOF Upper Limb Rehabilitation Exoskeleton with Gravity Compensation · ICRA 2024 |
Methods — techniques the papers use, named apart from their topics
kinematic analysis · 1.5gravity compensation · 1.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Design and Evaluation of a Reconfigurable 7-DOF Upper Limb Rehabilitation Exoskeleton with Gravity CompensationabstractWith the development of society, aging population and the number of stroke patients is increasing year by year. Rehabilitation exoskeleton can help patients to carry out rehabilitation training and improve their activities of daily living (ADL). First of all, a reconfigurable exoskeleton for upper limb rehabilitation is designed in this paper. The exoskeleton combines gravity compensation with left-right arm switching function through its reconfigurability. Secondly, the motion space and singular configuration of the exoskeleton are analyzed. By changing the working mode of the gravity compensation device, the control experiment of the motor is carried out. The influence of gravity compensation device on motor driving torque and energy consumption is analyzed. Finally, the results of experiment show that, in the best case, the gravity compensation device can reduce the energy consumption by 41.15% and the maximum motor current by 33.56% of the driving element. Linliang Zheng, Qingcong Wu, Yanghui Zhu, Qiang Zhang 0035 |
ICRA | 1 |