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Yuanyuan Yang 0002

dblp:10/2031-2 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2019
0000-0003-1530-3234ORCID · verified

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 · 67% Robot manipulation · 33%
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 › Robot manipulation › micromanipulation
microrobotic manipulation
0.412019
Efficient Micro Waveguide Coupling based on Microrobotic Positioning · ICRA 2019
Robotics › Motion planning and robot control
motion planning
0.412019
Efficient Micro Waveguide Coupling based on Microrobotic Positioning · ICRA 2019
Robotics › Motion planning and robot control
path planning
0.412019
Efficient Micro Waveguide Coupling based on Microrobotic Positioning · ICRA 2019
Computational fabrication
optical fabrication
0.112019
Efficient Micro Waveguide Coupling based on Microrobotic Positioning · ICRA 2019

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

position and light intensity feedback · 0.8optical microscopy · 0.8fuzzy control · 0.8
YearPublicationVenuePosition
2019 Efficient Micro Waveguide Coupling based on Microrobotic Positioning
abstract
Coupling the endface of an optical fiber to an integrated optical component is currently a low-throughput and costly manual process in the fabrication of the optical devices. In order to meet the high-volume demand for commercial optoelectronic devices, coupling must be automated. This paper presents a robotic positioning system and corresponding path planning strategy based on both the position and light intensity feedback. In this work, a micro-robotic positioning system with 3 degrees of freedoms (DOFs) is developed and integrated with an optical microscopy. Then the fuzzy controller is developed to design the trajectory. Lastly, simulation and experimental results demonstrate the accuracy and efficiency of the proposed system. Compared with the traditional manual method, the robotic positioning system can realize the coupling within 40 seconds. This method will have a significant impact on the automatic process of the micro manufacture field.
Panbing Wang, Dengfeng Li 0004, Haojian Lu, Yuanyuan Yang 0002, Shihui Shen, Yajing Shen
ICRA4