This research area deals with the development of a kinematic and dynamic design of humanoids robots
The main objective ofthis project is to design a decision making system, based onemotions and using unsupervised learning, for an autonomous and social robot.
We have developed an Autonomous Personal Robot, Maggie, that is going to interact with the user in a Peer-To-Peer way. That implies multimodality, personality, adaptivity, autonomy, learning ability, cooperativeness, reactivity and proactiveness.
Advanced object recognition techniques are explored to improve Human-Robot Interaction and to enhance robots' capabilities (manipulation, path planinmg, etc.)
The objective of this research line is to investigate the different postural sequencesthat a robot must follow to perform high level tasks. These postures have to beparameterized in a general way to be able to apply dynamic movements algorithms.
Remote interaction is a special type of human-robot interaction, where the human and the robot are separated by physical barriers but linked via telematic technologies.
Take a look at most machine learning algorithms, when trying to get something novel, you'll most probably get an average off what you already have. Robot Imagination, as described in its first international conference paper, aims to generate novel mental models of objects given a previous phase of semantic supervised training. Some improvements can be seen in posterior contributions. The transition to actions would not be easy, and it eventually lead to the foundations of CGDA research. Additional references include the original J.G.Victores PhD thesis.