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Miaoying Zhou

dblp:324/6243 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2022
—ORCID · none

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

Artificial intelligence and machine learning · 1 · 1 first-author · 1 since 2021Systems, architecture and hardware · 1 · 1 first-author · 1 since 2021

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 · 77% Robot manipulation · 23%

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

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control › motion planning
collision checking		 0.612022
Fast Collision Checking for Dual-Arm Collaborative Robots Working in Close Proximity · ICRA 2022
Robotics › Robot manipulation
dual-arm manipulation		 0.212022
Fast Collision Checking for Dual-Arm Collaborative Robots Working in Close Proximity · ICRA 2022

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

taylor models · 0.6separating distance function · 0.6forward kinematics · 0.6
YearPublicationVenuePosition
2022 Fast Collision Checking for Dual-Arm Collaborative Robots Working in Close Proximity
abstract
We present a fast collision checking/avoidance algorithm for collaborative robot arms that work in close proximity. We formulate forward kinematics and separating distance function using DH convention and Taylor models (the tight enclosure of a function), and then compute their tight bounds for determining interference between robot arms. Our algorithm allows the collaborative robot arms to perform fine and dexterous tasks in close spatial proximity.
Miaoying Zhou, Xinyu Zhang 0002
 ICRA1