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Masaya Suhara

dblp:22/4685 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2001
—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.

Artificial intelligence
1 paper
Legged, aerial and field robots · 56% Robot navigation and mapping · 44%

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

TopicWeightPapersLastEvidence papers
Robotics › Legged, aerial and field robots › field robotics
planetary rover
0.012001
Command Data Compensation for Real-time Tele-driving System on Lunar Rover: Micro-5 · ICRA 2001
Robotics › Legged, aerial and field robots › field robotics › planetary rover
lunar rover
0.012001
Command Data Compensation for Real-time Tele-driving System on Lunar Rover: Micro-5 · ICRA 2001

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

virtual world simulator · 0.0path planning · 0.0
YearPublicationVenuePosition
2001 Command Data Compensation for Real-time Tele-driving System on Lunar Rover: Micro-5
abstract
We discuss a tele-driving system for distant driving of a lunar rover, and describe our newly developed small, lightweight lunar rover called Micro-5 and its visual sensor system. The operator uses a virtual world simulator to make command path. The virtual environment of this simulator is constructed with measurement data from the rover on the moon. However, there is a communication delay between the earth and the moon. So, there is a difference between the old map data which the operator used for path planning and the new data which the rover is tracking. The operator's path command is thus less reliable to avoid obstacles and to reach the goal. Therefore, to achieve a highly reliable operator's command, we propose a command-data compensation approach which compensates this difference as the distortion of the environmental map.
Yasuharu Kunii, Masaya Suhara, Yoji Kuroda, Takashi Kubota
ICRA2