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Pedro Casau

dblp:52/11046 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2014
0000-0002-4508-1452ORCID · verified

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

Artificial intelligence and machine learning · 1 · 1 first-authorSystems, architecture and hardware · 1 · 1 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
1 paper
Legged, aerial and field robots · 87% Motion planning and robot control · 13%

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

TopicWeightPapersLastEvidence papers
Robotics › Legged, aerial and field robots
aerial robots
0.212014
A hybrid feedback controller for robust global trajectory tracking of quadrotor-like vehicles with minimized attitude error · ICRA 2014
Robotics › Legged, aerial and field robots › aerial robot control › UAV control
quadrotor trajectory tracking
0.212014
A hybrid feedback controller for robust global trajectory tracking of quadrotor-like vehicles with minimized attitude error · ICRA 2014
Robotics › Motion planning and robot control › hybrid systems
hybrid feedback control
0.112014
A hybrid feedback controller for robust global trajectory tracking of quadrotor-like vehicles with minimized attitude error · ICRA 2014

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

hybrid control · 0.2asymptotic stabilization · 0.2
YearPublicationVenuePosition
2014 A hybrid feedback controller for robust global trajectory tracking of quadrotor-like vehicles with minimized attitude error
abstract
In this paper, we tackle the problem of trajectory tracking for a particular class of underactuated vehicles with full torque actuation and a single force direction (thrust) that is fixed relative to a body attached frame. Additionally, we consider that thrust reversal is not available. We present the design of a hybrid controller that, under some given assumptions, is able to globally asymptotically stabilize the vehicle to a reference position trajectory while minimizing the angle to the desired attitude trajectory. This objective is achieved robustly and globally, in the sense that small perturbations do not lead to instability and it is achieved regardless of the initial state of the vehicle. The algorithm is tested in a experimental setup, using a small scale quadrotor vehicle and the VICON motion capture system.
Pedro Casau, Ricardo G. Sanfelice, Rita Cunha, David Cabecinhas, Carlos Silvestre
ICRA1