Demo Data from VLDB 2026 / reviewers in the wild / expert
Zhilan Xiao
dblp:274/9659
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2020
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1
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 · 100% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Robot manipulation
grasping |
0.4 | 1 | 2020 | Design and Analysis of a Synergy-Inspired Three-Fingered Hand · ICRA 2020 |
Robotics › Robot manipulation › robotic hand
multi-fingered robot hand |
0.4 | 1 | 2020 | Design and Analysis of a Synergy-Inspired Three-Fingered Hand · ICRA 2020 |
Methods — techniques the papers use, named apart from their topics
kinematic modeling · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2020 | Design and Analysis of a Synergy-Inspired Three-Fingered HandabstractHand synergy from neuroscience provides an effective tool for anthropomorphic hands to realize versatile grasping with simple planning and control. This paper aims to extend the synergy-inspired design from anthropomorphic hands to multi-fingered robot hands. The synergy-inspired hands are not necessarily humanoid in morphology but perform primary characteristics and functions similar to the human hand. At first, the biomechanics of hand synergy is investigated. Three biomechanical characteristics of the human hand synergy are explored as a basis for the mechanical simplification of the robot hands. Secondly, according to the synergy characteristics, a three-fingered hand is designed, and its kinematic model is developed for the analysis of some typical grasping and manipulation functions. Finally, a prototype is developed and preliminary grasping experiments validate the effectiveness of the design and analysis. Wenrui Chen, Zhilan Xiao, Jingwen Lu, Yaonan Wang 0001 |
ICRA | 2 |