Demo Data from VLDB 2026 / reviewers in the wild / expert
Michael Fanton
dblp:181/4132
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Legged, aerial and field robots
field robotics |
0.2 | 1 | 2016 | The second generation prototype of a Duct Climbing Tensegrity robot, DuCTTv2 · ICRA 2016 |
Robotics › Legged, aerial and field robots
locomotion |
0.2 | 1 | 2016 | The second generation prototype of a Duct Climbing Tensegrity robot, DuCTTv2 · ICRA 2016 |
Robotics › Legged, aerial and field robots › bio-inspired robot
tensegrity robot |
0.2 | 1 | 2016 | The second generation prototype of a Duct Climbing Tensegrity robot, DuCTTv2 · ICRA 2016 |
Robotics › Motion planning and robot control
robot control |
0.1 | 1 | 2016 | The second generation prototype of a Duct Climbing Tensegrity robot, DuCTTv2 · ICRA 2016 |
Robotics › Motion planning and robot control › multi-robot control
synchronization control |
0.1 | 1 | 2016 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2016 | The second generation prototype of a Duct Climbing Tensegrity robot, DuCTTv2abstractDuct 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 |
ICRA | 3 |