Luis Rodolfo Garcia Carrillo
Luis Rodolfo Garcia Carrillo
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Quad rotorcraft control: vision-based hovering and navigation
LRG Carrillo, AED López, R Lozano, C Pégard
Springer Science & Business Media, 2012
Combining stereo vision and inertial navigation system for a quad-rotor UAV
LR García Carrillo, AE Dzul López, R Lozano, C Pégard
Journal of intelligent & robotic systems 65 (1), 373-387, 2012
Hovering quad-rotor control: A comparison of nonlinear controllers using visual feedback
LR Garcia Carrillo, E Rondon, A Dzul, A Sanchez, R Lozano
49th IEEE Conference on Decision and Control (CDC), 2010, 1662-1667, 2010
Tracking a ground moving target with a quadrotor using switching control: nonlinear modeling and control
JE Gomez-Balderas, G Flores, LR García Carrillo, R Lozano
Journal of Intelligent & Robotic Systems 70, 65-78, 2013
Stabilization and trajectory tracking of a quad-rotor using vision
LR García Carrillo, E Rondon, A Sanchez, A Dzul, R Lozano
Journal of Intelligent & Robotic Systems 61 (1), 103-118, 2011
Modeling the quad-rotor mini-rotorcraft
LR García Carrillo, AE Dzul López, R Lozano, C Pégard, ...
Quad Rotorcraft Control: Vision-Based Hovering and Navigation, 23-34, 2013
Hovering flight improvement of a quad-rotor mini UAV using brushless DC motors
A Sanchez, LR Garcia Carrillo, E Rondon, R Lozano, O Garcia
Journal of Intelligent & Robotic Systems 61 (1), 85-101, 2011
An integrated traveling salesman and coverage path planning problem for unmanned aircraft systems
J Xie, LRG Carrillo, L Jin
IEEE control systems letters 3 (1), 67-72, 2018
Path planning for UAV to cover multiple separated convex polygonal regions
J Xie, LRG Carrillo, L Jin
IEEE Access 8, 51770-51785, 2020
Quad rotorcraft switching control: An application for the task of path following
LRG Carrillo, GRF Colunga, G Sanahuja, R Lozano
IEEE Transactions on Control Systems Technology 22 (4), 1255-1267, 2013
Sphercial simplex sigma-point Kalman filters: A comparison in the inertial navigation of a terrestrial vehicle
JG Castrejon Lozano, LR Garcia Carrillo, A Dzul, R Lozano
American Control Conference (ACC 2008), Seattle, Washington, USA, 2008
Brain emotional learning-based intelligent controller for flocking of multi-agent systems
M Jafari, H Xu, LRG Carrillo
2017 American Control Conference (ACC), 1996-2001, 2017
Quadrotor control for RF source localization and tracking
JT Isaacs, F Quitin, LRG Carrillo, U Madhow, JP Hespanha
2014 International Conference on Unmanned Aircraft Systems (ICUAS), 244-252, 2014
State estimation of multiagent systems under impulsive noise and disturbances
LRG Carrillo, WJ Russell, JP Hespanha, GE Collins
IEEE Transactions on Control Systems Technology 23 (1), 13-26, 2014
Adaptive consensus algorithms for real‐time operation of multi‐agent systems affected by switching network events
LRGC Filiberto Muñoz, Eduardo Steed Espinoza Quesada, Hung M. La, Sergio ...
International Journal of Robust and Nonlinear Control 27, 1566–1588, 2016
Distributed infrastructure inspection path planning for aerial robotics subject to time constraints
C Papachristos, K Alexis, LRG Carrillo, A Tzes
2016 international conference on unmanned aircraft systems (ICUAS), 406-412, 2016
Vision-based altitude, position and speed regulation of a quadrotor rotorcraft
E Rondon, LR Garcia Carrillo, I Fantoni-Coichot
International Conference on Intelligent Robots and Systems (IROS 2010 …, 2010
Rescue boat path planning in flooded urban environments
MF Ozkan, LRG Carrillo, SA King
2019 IEEE International Symposium on Measurement and Control in Robotics …, 2019
A neurobiologically-inspired intelligent trajectory tracking control for unmanned aircraft systems with uncertain system dynamics and disturbance
M Jafari, H Xu, LR Garcia Carrillo
Transactions of the Institute of Measurement and Control 41 (2), 417-432, 2019
Three-dimensional position and velocity regulation of a quad-rotorcraft using optical flow
LRG Carrillo, I Fantoni, E Rondon, A Dzul
IEEE Transactions on Aerospace and Electronic Systems 51 (1), 358-371, 2015
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
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