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Sam D. Herbert

dblp:86/655 · DBLP profile ↗
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2ranked-venue papers
2as first author
0since 2021 · last 2009
—ORCID · none

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

Artificial intelligence and machine learning · 2 · 2 first-authorSystems, architecture and hardware · 2 · 2 first-author

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
2 papers
Legged, aerial and field robots · 100%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Legged, aerial and field robots
field robotics
0.222009
A search and rescue robot · ICRA 2009
Loper: A quadruped-hybrid stair climbing robot · ICRA 2008
Robotics › Legged, aerial and field robots › field robotics › disaster response
search and rescue robotics
0.112009
A search and rescue robot · ICRA 2009
Robotics › Legged, aerial and field robots › rough terrain locomotion
stair-climbing robot
0.112008
Loper: A quadruped-hybrid stair climbing robot · ICRA 2008
Robotics › Legged, aerial and field robots › rough terrain locomotion
stair climbing
0.012009
A search and rescue robot · ICRA 2009
Robotics › Legged, aerial and field robots › legged robots
quadruped robot
0.012008
Loper: A quadruped-hybrid stair climbing robot · ICRA 2008

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

tri-lobe wheel · 0.2compliant chassis · 0.2
YearPublicationVenuePosition
2009 A search and rescue robot
abstract
In order to increase the effectiveness of robotic systems, the robots must be able to negotiate a variety of terrains. In urban environments this task becomes challenging as environments built for humans often have impediments such as stairs and thresholds which may be difficult or impossible for wheeled or tracked vehicles to go over. This is further complicated in search and rescue scenarios where debris and rubble from collapsed structures may further complicate the environment. In order to address these limitations a novel robotic platform, the Loper, has been developed. The Loper utilizes a Tri-lobe wheel and a compliant chassis in order to traverse difficult terrain. In addition, multiple gait configurations of the Tri-lobe wheel enable the Loper to overcome a variety of obstacles, both indoors and out.
Sam D. Herbert, Nathaniel D. Bird, Andrew Drenner, Nikolaos Papanikolopoulos
ICRA1
2008 Loper: A quadruped-hybrid stair climbing robot
abstract
The purpose of this paper is to describe the Loper, a multi-purpose robotic platform under development at the University of Minnesota's Center for Distributed Robotics. Leper's unique Tri-lobe wheel design and highly compliant chassis make the platform especially suited for overcoming many of the challenges associated with search operations in urban settings. The mechanically simple design and use of commercially available components make Loper easily maintainable. The platform also features long operational time, onboard sensor processing, dedicated motion control, and four reconfigurable sensor bays.
Sam D. Herbert, Andrew Drenner, Nikolaos Papanikolopoulos
ICRA1