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Roel Cano

dblp:181/4000 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2016
—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
Motion planning and robot control · 70% Legged, aerial and field robots · 30%

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

TopicWeightPapersLastEvidence papers
Robotics › Legged, aerial and field robots
aerial robots
0.212016
Minimum-energy path generation for a quadrotor UAV · ICRA 2016
Robotics › Motion planning and robot control › trajectory optimization
minimum-energy trajectory
0.212016
Minimum-energy path generation for a quadrotor UAV · ICRA 2016
Robotics › Motion planning and robot control › trajectory planning
quadrotor trajectory planning
0.212016
Minimum-energy path generation for a quadrotor UAV · ICRA 2016
Robotics › Motion planning and robot control
trajectory optimization
0.212016
Minimum-energy path generation for a quadrotor UAV · ICRA 2016
Robotics › Legged, aerial and field robots › aerial robots › UAV design
quadrotor endurance
0.112016
Minimum-energy path generation for a quadrotor UAV · ICRA 2016

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

optimal control · 0.2brushless DC motor model · 0.2
YearPublicationVenuePosition
2016 Minimum-energy path generation for a quadrotor UAV
abstract
A major limitation of existing battery-powered quadrotor UAVs is their reduced flight endurance. To address this issue, by leveraging the electrical model of a brushless DC motor, we explicitly determine minimum-energy paths between a predefined initial and final configuration of a quadrotor by solving an optimal control problem with respect to the angular accelerations of the four propellers. As a variation on this problem, if the total energy consumption between two boundary states is fixed, minimum-time and/or minimum-control-effort trajectories are computed for the aerial vehicle. The theory is illustrated for the DJI Phantom 2 quadrotor in three realistic scenarios.
Fabio Morbidi, Roel Cano, David Lara Alabazares
ICRA2