Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Ji-Hua Zhang

dblp:126/2768 · DBLP profile ↗
← Back
2ranked-venue papers
1as first author
1since 2021 · last 2023
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 2 · 1 first-author · 1 since 2021Systems, architecture and hardware · 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
1 paper
Robot navigation and mapping · 77% Robot manipulation · 23%

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

TopicWeightPapersLastEvidence papers
Robotics › Robot navigation and mapping
localization
0.011997
An auto-focusing measurement system with the piezoelectric translator · ICRA 1997
Robotics › Robot manipulation
position sensing
0.011997
An auto-focusing measurement system with the piezoelectric translator · ICRA 1997

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

piezoelectric translator · 0.0feedback control · 0.0
YearPublicationVenuePosition
2023 An improved bi-objective salp swarm algorithm based on decomposition for green scheduling in flexible manufacturing cellular environments with multiple automated guided vehicles
Ji-Hua Zhang
Soft Comput.2
1997 An auto-focusing measurement system with the piezoelectric translator
abstract
An auto-focusing system that consists of a compact disk (CD) optical head and a piezoelectric translator (PZT) is developed for measuring the displacement or profile of a tested surface. The modified CD optical head provides the defocusing signal from the tested surface. The defocusing signal is then used to drive the PZT via a feedback controller. The focus spot of the optical head follows the displacement of the tested surface through the movement of the PZT. The displacement or the profile of the tested surface can be obtained through three ways with different accuracy: the integration of the focus error signal (FES), the curve of driving voltage to expansion distance of the PZT or a secondary sensing device of displacement. The resolution of the system can reach 10 nm and the accuracy is 0.05 /spl mu/m. Some design considerations such as the control algorithm of focus servo and error analysis of the system are addressed in this paper. The measurement system and the sensor based on the CD pickup can also be applied to position sensing for robot as well as the noncontact probe for localization.
Ji-Hua Zhang, Lilong Cai
ICRA1