Demo Data from VLDB 2026 / reviewers in the wild / expert
Lijin Xia
dblp:117/2146
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Motion planning and robot control
robot control |
0.1 | 1 | 2012 | 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 |
0.1 | 1 | 2012 | Automated high throughput scalable green nanomanufacturing for naturally occurring nanoparticles using English ivy · ICRA 2012 |
Computational fabrication
nanofabrication |
0.1 | 1 | 2012 | 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 |
0.0 | 1 | 2012 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2012 | Automated high throughput scalable green nanomanufacturing for naturally occurring nanoparticles using English ivyabstractThe 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 |
ICRA | 4 |