The REEM-C were constructed by PAL Robotics of Barcelona, Spain. It uses harmonic point drivers and torque sensors on its ankles. The robot has an autonomous four-hour alkaline battery and two on board computers connected to the Ethernet, one for low-level control and another for image processing.

This robot is connected to a server with the ROS system in order to develop kinematic and dynamic models such as the walking pattern generation algorithms as well as those of control, which can be executed online in the robot. Libraries that include routines for conformal geometric algebra calculations for perception, inverse and differential kinematics, dynamics, and algorithms are used for generating walking and control patterns.

Development of an expert system to assist the medical community to diagnose the most common diseases presenting a series of defined symptoms. It is based in Modus Ponen inference rules taken from a knowledge base.

If the desease is not found by the inference rules, a probabilistic analysis is used insterad. Hosted on a web server, implemented with ATL technology to execute a service with the expert system and CGI standard method to present the graphic interface web.