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Guoyong Zhao

dblp:72/8369 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2010
—ORCID · unresolved

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

Artificial intelligence and machine learning · 1 · 1 first-authorSystems, 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 manipulation · 67% Motion planning and robot control · 33%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation › assembly
automated assembly
0.112010
Automated microassembly of tissue engineering scaffold · ICRA 2010
Robotics › Motion planning and robot control › robot control › force control
force feedback control
0.112010
Automated microassembly of tissue engineering scaffold · ICRA 2010
Robotics › Robot manipulation › micromanipulation
microassembly
0.112010
Automated microassembly of tissue engineering scaffold · ICRA 2010

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

visual feedback · 0.1haptic exploration · 0.1force feedback · 0.1
YearPublicationVenuePosition
2010 Automated microassembly of tissue engineering scaffold
abstract
This video presents a fully automated desktop workstation for fabricating tissue engineering (TE) scaffolds by assembling microscopic building blocks of dimension 0.5 × 0.5 × 0.2mm3and 60μm thickness. A TE scaffold is a porous supporting structure made of biodegradable material for cells to attach to and proliferate. TE scaffolds fabricated this way enable 3D control of the cells and agents to promote optimal tissue growth. This video outlines the architecture and control strategies of the workstation, and demonstrates its efficiency. Visual and force feedbacks, as well as a haptic exploration, make the assembly robust to large relative errors in the microparts.
Guoyong Zhao, Chee Leong Teo, Dietmar Werner Hutmacher, Etienne Burdet
ICRA1