Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Michael Fanton

dblp:181/4132 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
0since 2021 · last 2016
—ORCID · unresolved

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 · 83% Motion planning and robot control · 17%

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
0.212016
The second generation prototype of a Duct Climbing Tensegrity robot, DuCTTv2 · ICRA 2016
Robotics › Legged, aerial and field robots
locomotion
0.212016
The second generation prototype of a Duct Climbing Tensegrity robot, DuCTTv2 · ICRA 2016
Robotics › Legged, aerial and field robots › bio-inspired robot
tensegrity robot
0.212016
The second generation prototype of a Duct Climbing Tensegrity robot, DuCTTv2 · ICRA 2016
Robotics › Motion planning and robot control
robot control
0.112016
The second generation prototype of a Duct Climbing Tensegrity robot, DuCTTv2 · ICRA 2016
Robotics › Motion planning and robot control › multi-robot control
synchronization control
0.112016
The second generation prototype of a Duct Climbing Tensegrity robot, DuCTTv2 · ICRA 2016

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

dynamic simulation · 0.2
YearPublicationVenuePosition
2016 The second generation prototype of a Duct Climbing Tensegrity robot, DuCTTv2
abstract
Duct exploration and maintenance is a task well suited for small agile robots, which must be capable of navigating complex and irregular systems of ducts. Previously, we presented a tensegrity robot, DuCTT (Duct Climbing Tetrahedral Tensegrity), which demonstrated the plausibility of such a robot for duct exploration but was never able to successfully demonstrate climbing. Here we present DuCTTv2, redesigned from the ground up to address issues with actuator power, cable routing, compliance and synchronized control present in our first prototype. These improvements allow the prototype to be the first tensegrity robot to demonstrate duct climbing, and does so with an average climb speed of 1.4 cm/s. We also demonstrate initial tests of the prototypes ability to bend and translate its two segments relative to one another, which will allow it to navigate T-junctions and sharp corners commonly found in duct systems. Testing of the prototype is conducted to demonstrate the new faster and more robust control of motion, and analysis of dynamic simulations is presented.
Jeffrey M. Friesen, Paul Glick, Michael Fanton, Pavlo Manovi, Alexander Xydes, Thomas R. Bewley, Vytas SunSpiral
ICRA3