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Sérgio Bittencourt Varella Gomes

dblp:99/2701 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 1999
—ORCID · none

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

Artificial intelligence and machine learning · 2 · 1 first-authorSystems, architecture and hardware · 2 · 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
2 papers
Motion planning and robot control · 70% Legged, aerial and field robots · 30%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Embedded and real-time systems · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control
robot control
0.011999
A Control System Development Environment for AURORA's Semi-Autonomous Robotic Airship · ICRA 1999
Robotics › Motion planning and robot control › robot control › hierarchical control
supervisory control
0.011999
A Control System Development Environment for AURORA's Semi-Autonomous Robotic Airship · ICRA 1999
Embedded and real-time systems
cyber-physical system platforms
0.011999
A Control System Development Environment for AURORA's Semi-Autonomous Robotic Airship · ICRA 1999
Robotics › Legged, aerial and field robots
aerial robots
0.011998
Airship Dynamic Modeling for Autonomous Operation · ICRA 1998

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

simulation-based control development · 0.0simulation · 0.0dynamic modeling · 0.0
YearPublicationVenuePosition
1999 A Control System Development Environment for AURORA's Semi-Autonomous Robotic Airship
abstract
Development of reliable control systems for semi-autonomous unmanned aerial vehicles require the use of extensive simulation data provided by an accurate six-degrees-of-freedom dynamic model. In this article we describe a Simulink-based control system development environment for Project AURORA's unmanned robotic airship, as well as the control algorithms and supervisory level of AURORA's control system. A complete take-off to landing mission illustrates the utilization of this environment.
Ely Carneiro de Paiva, Samuel Siqueira Bueno, Sérgio Bittencourt Varella Gomes, Marcel Bergerman, Josué J. G. Ramos
ICRA3
1998 Airship Dynamic Modeling for Autonomous Operation
abstract
We present a comprehensive description of the physical principles of robotic airship operation, along with their dynamic model in a form suited for controller design and computer simulation. Based on the dynamic model, airship response modes are analyzed and control challenges are pointed out. The present work provides a starting point for robotics and control researchers interested in utilizing airships as robotic aerial vehicles.
Sérgio Bittencourt Varella Gomes, Josué J. G. Ramos
ICRA1