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Fumisato Mifune

dblp:44/5909 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2003
—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
Motion planning and robot control · 87% Legged, aerial and field robots · 13%

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

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control › teleoperation › telerobotics
humanoid teleoperation
0.012003
A tele-operated humanoid robot drives a backhoe · ICRA 2003
Robotics › Motion planning and robot control
teleoperation
0.012003
A tele-operated humanoid robot drives a backhoe · ICRA 2003
Robotics › Legged, aerial and field robots
field robotics
0.012003
A tele-operated humanoid robot drives a backhoe · ICRA 2003

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

remote control · 0.0balancing control · 0.0
YearPublicationVenuePosition
2003 A tele-operated humanoid robot drives a backhoe
abstract
In this paper, we will describe our attempt for a tele-operated humanoid robot to drive a backhoe. It will be possible for a humanoid robot to drive an industrial vehicle instead of a human operator. If a humanoid robot can be operated by a human operator from a remote site, it enables to use a general type of vehicle safely in a dangerous field. We introduced a backhoe as the target vehicle to show the possibility of driving a vehicle in a sitting posture. The robot sits down with balancing on a cockpit of the backhoe and manipulates control levers for driving. We developed a portable remote control device and remote control methods to operate the humanoid robot. For the evaluation, it is tested to sit down and manipulate the levers on the driving cockpit of the real backhoe. To compare it with a human's work, the efficiency is close to practical use.
Hitoshi Hasunuma, Katsumi Nakashima, Masami Kobayashi, Fumisato Mifune, Yoshitaka Yanagihara, Takao Ueno, Kazuhisa Ohya, Kazuhito Yokoi
ICRA4