In this project we investigate control algorithms for achieving a stable and robust transition maneuver between flying modes. Also we propose several UAV convertible configurations. The design and construction is of our interest.

This research work deals with the design and development of a multispectral imaging system to precision agriculture tasks. For that, drones, algorithms and camera rig are developed.

Imagine that we give capabilities to manipulate objects in the environment to mobile robots, aerial or terrestrial. The possibilities and applications will grow exponentially. This research deals to this problem: design, trajectory planning, perception and control of mobile manipulators.

Also we investigate virtual reality systems for aerial manipulation.

Given certain class of nonlinear systems the goal is to find controllers to stabilize them. Also we consider that these systems are disturbed by external perturbations and non-modeled dynamics. Hence the problem is to propose controllers that compensate them.

We apply these controllers for chemical, mechanical and optical systems.

The problem of giving perception to robots by means of a series of sensors such as: monocular cameras, stereo cameras, RGB-D cameras, inertial sensors, GPS, among others, is treated in this research. Artificial intelligence, computer vision, probabilistic robotics and filtering are some of the areas covering here.

The goal is to achieve a diagnosis about certain kind of diseases that present symptoms in the human eye. For that, we need to analyze digital fundus photography extracted from specialized cameras.

In this research a nonlinear control system for an intereformeter is analyzed from the perspective of control theory. One of the main problems in interferometry is to eliminate spurious disturbances of interferometer phase measurement. We investigate estimation algorithms with the aim of compensating such disturbances.