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Jueyao Wang

dblp:99/7735 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2009
0009-0000-5312-4558ORCID · reported

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
Legged, aerial and field robots · 62% Robot manipulation · 19% Motion planning and robot control · 19%

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

TopicWeightPapersLastEvidence papers
Robotics › Legged, aerial and field robots
field robotics
0.112009
Design of a modular robotic system for archaeological exploration · ICRA 2009
Robotics › Robot manipulation
remote operation
0.012009
Design of a modular robotic system for archaeological exploration · ICRA 2009
Robotics › Motion planning and robot control
teleoperation
0.012009
Design of a modular robotic system for archaeological exploration · ICRA 2009

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

wired communication · 0.1modular design · 0.1
YearPublicationVenuePosition
2009 Design of a modular robotic system for archaeological exploration
abstract
This paper presents the design and field tests of an intelligent robotic system for archaeological exploration. The system is designed for recording the internal environment of the underground ancient tombs. The recorded data is used for the preservation of antiques inside the ancient tombs as well as for providing the valuable references to the archaeological research. The whole system is modular and minimized in size that can be adapted for two different archaeological situations during the exploration of the ancient tombs. The robotic system can enter the covered ancient tombs through the digging holes prepared by the regular archaeological exploration. One size of the vertical digging hole is less than 12 centimeter in diameter, and the other is 50 centimeter in diameter. The archaeologists can operate on the remote station to control the robotic system with wired communication. The field test results are finally presented for validation of this archaeological robotic system design.
Jueyao Wang, Fude Tie
ICRA1