• Reference: GRE12-17
  • Principal investigator: Gabriel J. Garcia
  • Research Centers: University of Alicante
  • Duration: September 1st, 2013 – August 31th, 2015
  • Financial Entity: University of Alicante

The objectives achieved by the project were the following:

  1. Investigate in generic control systems embedded in FPGA.
  2. Develop a direct visual control scheme over FPGA.

Some facts in Numbers


JCR Journals


International Conferences


National Conferences


PhD Thesis

Regarding the first objective, the research team studied the generic control systems embedded in FPGA. The result of these previous investigations has been published in [1] in Review format. This previous investigation allowed to define not only the type of device necessary for the following investigations to be developed, but also to better define the strategy to be followed next. As a result of these initial studies, a reconfigurable open architecture strategy was chosen, capable of operating independently of the robot or camera used for visual control guidance.

The main objective of the project was to develop a direct visual control scheme over FPGA. The developed controller is the first in the literature capable of performing on a FPGA the direct visual control of a manipulator robot. The project has worked with a camera with a Camera-Link interface. However, the design proposed in this project allows to include other types of cameras simply by developing the corresponding module, so that the algorithm for extracting visual characteristics becomes independent of the device. Next to the vision module, the control module has been worked on. This module also acts as a black box, so that, defined its inputs and outputs, it is possible to make the controller of the manipulator robot that is to be controlled independent. The reconfigurable architecture has been published in [2]. From this architecture it is easy to modify the controller and thus expand its capabilities to position the robot. Thus, in [3] a modification of the controller has been published on the same reconfigurable architecture, where the concept of dynamic perceptibility is used. 


A Survey on FPGA-Based Sensor Systems: Towards Intelligent and Reconfigurable Low-Power Sensors for Computer Vision, Control and Signal Processing
García, G.J.; Jara, C.A.; Pomares, J.; Alabdo, A.; Poggi, L.M.; Torres, F. (2014) Sensors, Vol. 14, pp. 6247-6278. IF: 2.245 (Q1).

FPGA-based architecture for visual servoing robotic systems
Alabdo, A.; Pérez, J.; García, G.J.; Pomares, J.; Torres, F. (2016) Mechatronics. Vol. 39, pp. 204-216. IF: 2.496 (Q1).

FPGA-based visual control system using dynamic perceptibility
Pérez, J.; Alabdo, A.; Pomares, J.; García, G.J.; Torres, F. (2016) Robotics and Computer-Integrated Manufacturing. Vol. 41, pp. 13-22. IF: 2.846 (Q1).

Human Robotics Group - University of Alicante

Design and Control of Robots

Design and Control

of Robots

Advanced mechanical design of robotic devices and kinematic - dynamic control performance

Design and Control of Robots



Control algorithms for humanoid robots to perform collaborative visual and manipulative tasks

Medical Robotics



Development of robotic solutions for assistance and rehabilitation to help physically impaired people

Design and Control of Robots



Visual servo control of satellites and robotic platforms located in the space

HURO research lines are focused in the benefit of humans and environmental impact, developing solutions for human-robot interaction and services, for helping disabled people and for spacecraft control applications.

Contact us

  • Human Robotics
    UA Polytechnic School 3
    Physics, Systems Engineering and Signal Theory Department
    University of Alicante
    Ctra San Vicente del Raspeig s/n
    San vicente del Raspeig
    03690 Alicante, Spain.

  • (+34) 965 903 400 Ext. 1094

  • huro@ua.es

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