Demo Data from EDBT 2026 / reviewers in the wild / expert
Xutao Ye
dblp:116/6433
· DBLP profile ↗
3ranked-venue papers
2as first author
0since 2021 · last 2013
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2 · 1 first-authorSystems, architecture and hardware · 2 · 1 first-authorApplied, interdisciplinary, general and emerging computing · 1 · 1 first-author
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
2 papers |
Robot manipulation · 100% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Electronic design automation · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Robot manipulation › micro/nano manipulation
nanomanipulation |
0.1 | 1 | 2012 | Automated nanomanipulation for nano device construction · ICRA 2012 |
Robotics › Robot manipulation › micro/nano manipulation
nanorobotic manipulation |
0.1 | 1 | 2012 | Robotic pick-place of nanowires for electromechanical characterization · ICRA 2012 |
Robotics › Robot manipulation
micro/nano manipulation |
0.0 | 1 | 2012 | Robotic pick-place of nanowires for electromechanical characterization · ICRA 2012 |
Electronic design automation
nanofabrication |
0.0 | 1 | 2012 | Automated nanomanipulation for nano device construction · ICRA 2012 |
Methods — techniques the papers use, named apart from their topics
scanning electron microscope manipulation · 0.3nanowire contact printing · 0.3vision-based motion control · 0.1teleoperation · 0.1SEM vision · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2013 | Automated Pick-Place of Silicon NanowiresabstractPick-place of single nanowires inside scanning electron microscopes (SEM) is useful for prototyping functional devices and characterizing nanowires's properties. Nanowire pick-place has been typically performed via teleoperation, which is time-consuming and highly skill-dependent. This paper presents an automated approach to the pick-place of single nanowires. Through SEM visual detection and vision-based motion control, the system automatically transferred individual silicon nanowires from their growth substrate to a microelectromechanical systems (MEMS) device that characterized the nanowires's electromechanical properties. The performance of the nanorobotic pick-up and placement procedures was experimentally quantified. Xutao Ye, Yong Zhang 0046, Changhai Ru, Jun Luo 0006, Shaorong Xie, Yu Sun 0001 |
IEEE Trans Autom. Sci. Eng. | 1 |
| 2012 | Robotic pick-place of nanowires for electromechanical characterizationabstractPick-place of single nanowires inside scanning electron microscopes (SEM) is useful for prototyping functional devices and characterizing nanowires' properties. Nanowire pick-place has been typically performed via teleoperation, which is time-consuming and highly skill-dependent. This paper presents a robotic system capable of automated pickplace of single nanowires. Through SEM visual detection and vision-based motion control, the system transferred individual silicon nanowires from their growth substrate to a microelectromechanical systems (MEMS) device that characterized the nanowires' electromechanical properties. The performance of the nanorobotic pick-up and placement procedures was quantified by experiments. The system demonstrated automated nanowire pick-up and placement with high reliability. Xutao Ye, Yong Zhang 0046, Yu Sun 0001 |
ICRA | 1 |
| 2012 | Automated nanomanipulation for nano device constructionabstractNanowire field-effect transistors (nano-FETs) are nano devices capable of highly sensitive, label-free sensing of molecules. However, significant variations in sensitivity across devices can result from poor control over device parameters, such as nanowire diameter and the number of electrode-bridging nanowires. This paper presents a fabrication approach that uses wafer-scale nanowire contact printing for throughput and uses automated nanomanipulation for precision control of nanowire number and diameter. The process requires only one photolithography mask. Using nanowire contact printing and post processing (i.e., nanomanipulation inside scanning electron microscope), we are able to produce devices all with a single nanowire and similar diameters at a speed of ∼1 min/device with a success rate of 95% (n=500). This technology represents a seamless integration of wafer-scale microfabrication and automated nanorobotic manipulation for producing nano-FET sensors with consistent response across devices. Yan Liang Zhang, Jason H. Li, Steve To, Yong Zhang 0046, Xutao Ye, Yu Sun 0001 |
ICRA | 5 |