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Zhilan Xiao

dblp:274/9659 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation
grasping
0.412020
Design and Analysis of a Synergy-Inspired Three-Fingered Hand · ICRA 2020
Robotics › Robot manipulation › robotic hand
multi-fingered robot hand
0.412020
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
YearPublicationVenuePosition
2020 Design and Analysis of a Synergy-Inspired Three-Fingered Hand
abstract
Hand 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
ICRA2