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Valeria Skvortsova

dblp:258/0502 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2020
—ORCID · none

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.

Human-computer interaction and pervasive computing
1 paper
Immersive interaction · 50% Human-robot interaction · 50%
Artificial intelligence
1 paper
Motion planning and robot control · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Immersive interaction › mixed reality
mixed reality robot programming
0.412020
Human-robot interaction for robotic manipulator programming in Mixed Reality · ICRA 2020
Robotics › Motion planning and robot control
trajectory planning
0.112020
Human-robot interaction for robotic manipulator programming in Mixed Reality · ICRA 2020

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

virtual markers · 0.9point cloud analysis · 0.9
YearPublicationVenuePosition
2020 Human-robot interaction for robotic manipulator programming in Mixed Reality
abstract
The paper presents an approach for interactive programming of the robotic manipulator using mixed reality. The developed system is based on the HoloLens glasses connected through Robotic Operation System to Unity engine and robotic manipulators. The system gives a possibility to recognize the real robot location by the point cloud analysis, to use virtual markers and menus for the task creation, to generate a trajectory for execution in the simulator or on the real manipulator. It also provides the possibility of scaling virtual and real worlds for more accurate planning. The proposed framework has been tested on pick-and-place and contact operations execution by UR10e and KUKA iiwa robots.
Mikhail Ostanin, Stanislav Mikhel, Alexey Evlampiev, Valeria Skvortsova, Alexandr Klimchik
ICRA4