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Dario J. Canelón

dblp:42/9967 · also Dario Canelon · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2012
—ORCID · none

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

Artificial intelligence and machine learning · 2Systems, architecture and hardware · 2

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 · 100%

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

TopicWeightPapersLastEvidence papers
Robotics › Legged, aerial and field robots
mobile robot locomotion
0.112011
Robotic tumbling locomotion · ICRA 2011
Robotics › Legged, aerial and field robots › legged robots
step climbing
0.112011
Robotic tumbling locomotion · ICRA 2011
Robotics › Legged, aerial and field robots › locomotion
tumbling locomotion
0.112011
Robotic tumbling locomotion · ICRA 2011

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

hardware experiments · 0.1geometric analysis · 0.1
YearPublicationVenuePosition
2012 Aquapod: A small amphibious robot with sampling capabilities
abstract
Mobile robots are often proposed as a favorable substitute to human correspondence in emergency response, disaster relief, and environmental monitoring scenarios. In this work, the next iteration of the Aquapod is proposed as a method to facilitate collection of subsurface liquid samples in order to assess toxicity levels in a body of water. This amphibious small form-factor robot is equipped with a buoyancy control unit, detachable fluidic sampling unit, and a wide range of sensing and processing capabilities. The robot was designed to move and collect water samples to a maximum depth of ten meters. Its unique form of tumbling locomotion results in a versatile platform that can be used in both terrestrial and aquatic environments leveraging its high mobility-to-size ratio.
Sandeep Dhull, Dario J. Canelón, Apostolos D. Kottas, Justin Dancs, Andrew Carlson, Nikolaos Papanikolopoulos
IROS2
2011 Robotic tumbling locomotion
abstract
In this paper we introduce tumbling, a relatively unexplored method of locomotion in which the robot utilizes net body rotations while ambulating. Tumbling for mobile robots is attractive in that it can enable increased mobility on smaller scales, often while reducing hardware requirements. As motivation for this interesting form of locomotion we provide a geometric analysis of a vertical step climbing task, one that tumbling robots perform well with respect to their size and complexity. In addition to our analysis we present results of a hardware experiment with a tumbling robot performing the task for varying combinations of frictional coefficients at the step and ground.
Brett Hemes, Dario J. Canelón, Justin Dancs, Nikolaos Papanikolopoulos
ICRA2