- Seville, Spain.
Jesus Gonzalez
Universidad de Sevilla, Ingenieria de Automatización, Control y Robótica, Department Member
- Computer Vision, Autonomous Robotics, Mechatronics & Robotics, Mobile Robotics, Autonomous Cognitive Agents, Computer Science, and 14 moreEngineering, Robotics (Computer Science), Control Systems Engineering, Robotics, Automatic Control, Image Processing, Parallel Computing, Control Systems, Physics, Information Technology, Mechanical Engineering, Artificial Intelligence, Electrical Engineering, and Technologyedit
- MsC Computer Science, MsC in Automation, Robotics and Mechatronics (PhD student). Currently involved in the following... moreMsC Computer Science, MsC in Automation, Robotics and Mechatronics (PhD student). Currently involved in the following activities:- Systems Lead Engineer - System architect for embedded electronics systems, in the ADAS (Advanced Driver Assistance Systems) Business Unit, at FICOSA Automotive Redit
ABSTRACT Este trabajo presenta el diseño e implementación de la arquitectura de un helicóptero a pequeña escala de tipo Quadrotor. Asímismo se presentan resultados de simulación de controladores robustos de estabilización en posición y... more
ABSTRACT Este trabajo presenta el diseño e implementación de la arquitectura de un helicóptero a pequeña escala de tipo Quadrotor. Asímismo se presentan resultados de simulación de controladores robustos de estabilización en posición y orientación con realimentación de información visual. Palabras clave: quadrotor, simulación , visión artificial, control visual.
This work presents the modeling and control of a multi-body air vehicle composed of a miniature aerial vehicle (MAV) and mechanical device, a camera positioner, augmented aerial platform which is considered as the logical next framework... more
This work presents the modeling and control of a multi-body air vehicle composed of a miniature aerial vehicle (MAV) and mechanical device, a camera positioner, augmented aerial platform which is considered as the logical next framework within the MAV civil applications. The goal is to improve the current operational profile of visual sensors onboard the MAV, by broading current aerial configurations for visual sensors tasks with novel capabilities to disengage the dynamic coupling due to typical setups. The Euler-Lagrange formalism is applied aiming at obtaining coupling terms between the aerial and the camera positioner systems. Results of two nonlinear control techniques applied to the MAV are presented. A backstepping and a sliding-mode techniques are first designed and then numerically simulated. Finally, we discuss the results of each approach.
