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Michael Rachkov

dblp:58/983 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2002
—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 · 50% Motion planning and robot control · 50%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Legged, aerial and field robots › field robotics
demining robot
0.012002
Mobile Pneumatic Robot for Demining · ICRA 2002
Robotics › Legged, aerial and field robots
field robotics
0.012002
Mobile Pneumatic Robot for Demining · ICRA 2002
Robotics › Motion planning and robot control › teleoperation
mobile robot teleoperation
0.012002
Mobile Pneumatic Robot for Demining · ICRA 2002
Robotics › Motion planning and robot control
robot control
0.012002
Mobile Pneumatic Robot for Demining · ICRA 2002

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

pneumatic actuation · 0.0
YearPublicationVenuePosition
2002 Mobile Pneumatic Robot for Demining
abstract
The enormous amount of anti-personal land mines scattered over many countries worldwide is a major humanitarian problem asking for an efficient solution at an affordable cost. The article describes a robust and low cost mobile robot that can transport equipment of about 1.5 times its own weight over natural terrains with inclinations superior to 40 degrees. The robot mechanical structure is optimised for precisely scanning large areas of natural environments with land mine detection sensors. The paper also describes the control architecture of the robot with the possibility to correct the motion direction. The land mine sensing system of the robot is presented.
Lino Marques, Michael Rachkov, Aníbal T. de Almeida
ICRA2