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Xiao Yu Wu

dblp:28/7736 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2009
0000-0002-5333-8115ORCID · reported

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%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Medical and health informatics · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation
grasping		 0.112009
Manipulation at the NanoNewton level: Micrograpsing for mechanical characterization of biomaterials · ICRA 2009
Robotics › Robot manipulation › grasping
micrograsping		 0.112009
Manipulation at the NanoNewton level: Micrograpsing for mechanical characterization of biomaterials · ICRA 2009

Methods — techniques the papers use, named apart from their topics

visual tracking · 0.2force feedback control · 0.2
YearPublicationVenuePosition
2009 Manipulation at the NanoNewton level: Micrograpsing for mechanical characterization of biomaterials
abstract
This paper presents the use of a monolithic, force-feedback MEMS (microelectomechanical systems) microgripper for characterizing both elastic and viscoelastic properties of highly deformable hydrogel microcapsules (15–25µm) at wet state during micromanipulation. The single-chip microgripper integrates an electrothermal microactuator and two capacitive force sensors, one for contact detection (force resolution: 38.5nN) and the other for gripping force measurements (force resolution: 19.9nN). Through nanoNewton force measurements, closed-loop force control, and visual tracking, the system quantified Young's modulus values and viscoelastic parameters of alginate microcapsules, demonstrating an easy-to-operate, accurate compression testing technique for characterizing soft, micrometer-sized biomaterials.
Keekyoung Kim, Xinyu Liu 0002, Yong Zhang 0046, Xiao Yu Wu, Yu Sun 0001
 ICRA5