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Lijin Xia

dblp:117/2146 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2012
—ORCID · none

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
Motion planning and robot control · 100%
Computer graphics and multimedia
1 paper
Computational fabrication · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control
robot control
0.112012
Automated high throughput scalable green nanomanufacturing for naturally occurring nanoparticles using English ivy · ICRA 2012
Robotics › Motion planning and robot control › robot control › motion control
speed control
0.112012
Automated high throughput scalable green nanomanufacturing for naturally occurring nanoparticles using English ivy · ICRA 2012
Computational fabrication
nanofabrication
0.112012
Automated high throughput scalable green nanomanufacturing for naturally occurring nanoparticles using English ivy · ICRA 2012
Robotics › Motion planning and robot control › robot control
feedback control
0.012012
Automated high throughput scalable green nanomanufacturing for naturally occurring nanoparticles using English ivy · ICRA 2012

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

speed control law · 0.3linear viscoelastic model · 0.3feedback control · 0.3
YearPublicationVenuePosition
2012 Automated high throughput scalable green nanomanufacturing for naturally occurring nanoparticles using English ivy
abstract
The discovery of novel nanomaterials, such as nanoparticles and nanofibers, is crucial to the expansion of the nanotechnology field. Of even greater importance, is the identification of nanomaterials that exist in nature and have low environmental toxicity when compared to man-made nanomaterials. In 2008, our group first discovered that ivy secretes nanoparticles for surface affixing. It was further demonstrated that these nanoparticles could be used for biomedical applications. This paper proposes an automated framework for high throughput scalable green nanomanufacturing of these naturally occurring nanoparticles. Several parameters necessary to optimize the growth of the ivy, including temperature, humidity, and light level, were regulated using feedback controls. Since the contact of ivy rootlets with a substrate is necessary to initiate the secretion of ivy adhesive, an electromechanical system was designed to automatically stimulate the rootlets to start the nanoparticle secretion process. The contact of ivy rootlets with a surface was formulated as a linear viscoelastic model and a speed control law was proposed for the actuator of the automated system. The proposed framework was verified through prototype experiments, and demonstrated promise for high throughput production of ivy nanoparticles.
Zhonghua Xu, Scott C. Lenaghan, David Gilmore, Lijin Xia
ICRA4