Performance Evaluation of Multi-UAV Network Applied to Scanning Rocket Impact Area

Autor: Joao B. D. Dantas, Elitelma da Silva Souza, Francisco H. Cunha Junior, Mauricio R. Silva, Glauberto Leilson Alves de Albuquerque, Diego S. Pereira, Luis B. P. Nascimento, Adelardo Adelino Dantas de Medeiros, Deyvid L. Leite, Marcelo B. Nogueira, Pablo Javier Alsina, Mateus Rodrigues de Morais

Publikováno v: Sensors (Basel, Switzerland)
Sensors
Volume 19
Issue 22
Sensors, Vol 19, Iss 22, p 4895 (2019)
Repositório Institucional da UFRN
Universidade Federal do Rio Grande do Norte (UFRN)
instacron:UFRN

This paper presents a communication network for a squadron of unmanned aerial vehicles (UAVs) to be used in the scanning rocket impact area for Barreira do Inferno Launch Center&mdash
CLBI (Rio Grande do Norte, Brazil), aiming at detecting intru

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::426f0babe5401ee15929ca6d973477c0
https://pubmed.ncbi.nlm.nih.gov/31717563

Safe Path Planning Based on Probabilistic Foam for a Lower Limb Active Orthosis to Overcoming an Obstacle

Autor: Pablo Javier Alsina, Marcio Valerio Araujo, Luis B. P. Nascimento, Armando S. Sanca, Kassio J. S. Eugenio, Daniel H. S. Fernandes, Mauricio R. Silva, Diego S. Pereira

Publikováno v: 2018 Latin American Robotic Symposium, 2018 Brazilian Symposium on Robotics (SBR) and 2018 Workshop on Robotics in Education (WRE).

This paper presents an approach to simplify the path planning for an active orthosis through the application of the Probabilistic Foam Method. In this method, a structure called probabilistic foam was formed by a set of bubbles that propagates throug

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4f7286e6f21fe8241e25a96fea4433fa
https://doi.org/10.1109/lars/sbr/wre.2018.00080

Goal-biased probabilistic foam method for robot path planning

Autor: Armando S. Sanca, Daniel H. S. Fernandes, Valber Cesar Cavalcanti Roza, Pablo Javier Alsina, Mauricio R. Silva, Luis B. P. Nascimento, Diego S. Pereira

Publikováno v: ICARSC

This paper presents an improved variation of Probabilistic Foam Method (PFM) for robot path planning. In PFM, a structure named probabilistic foam, formed by bubbles propagate through the free space from initial configuration to goal as a breadth-fir

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a84873a726fcc83ec3e8042dba9d8b96
https://doi.org/10.1109/icarsc.2018.8374183

Communication network architecture specification for multi-UAV system applied to scanning rocket impact area first results

Autor: Adelardo Adelino Dantas de Medeiros, Elitelma da Silva Souza, Pablo Javier Alsina, Joao B. D. Dantas, Marcelo B. Nogueira, H. C. Francisco, Mauricio R. Silva, G. Glauberto L. A. de Alburquerque

Publikováno v: LARS/SBR

This paper presents the specifications for a network architecture of a squadron of Unmanned Aerial Vehicles to be used to scan rocket impact areas. It presents the main features of communication networks for multi UAV systems and the details of its a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::fa0925dcabf620c1ccc6b8bc6d62350e
https://doi.org/10.1109/sbr-lars-r.2017.8215296