The goal of RobotCub
was to study cognition through the implementation of a humanoid robot the size of a 3.5 year old child: the iCub. This is a fully open source & hardware project, one of a kind! This is the project that started the iCub both in hardware and software.
CoDyCo aims at advancing the current control and cognitive understanding about robust, goal-directed whole-body motion interaction with multiple contacts. CoDyCo will go beyond traditional approaches: (1) proposing methodologies for performing coordinated interaction tasks with complex systems; (2) combining planning and compliance to deal with predictable and unpredictable events and contacts; (3) validating theoretical advances in real-world interaction scenarios
Xperience will demonstrate that state-of-the-art enactive systems can be significantly extended by using structural bootstrapping to generate new knowledge.
This process is founded on explorative knowledge acquisition, and subsequently validated through experience-based generalization.
The Experimental Functional Android Assistant (EFAA) project will contribute to the development of socially intelligent humanoids by advancing the state of the art in both single human-like social capabilities and in their integration in a consistent architecture.
The ITALK project aims to develop artificial embodied agents able to acquire complex behavioural, cognitive, and linguistic skills through individual and social learning. This will be achieved through experiments with the iCub humanoid robot.
POETICON is a project that explores the poetics of everyday life, i.e. the synthesis of sensorimotor representations and natural language in everyday human interaction. This is related to an old problem in AI on how meaning emerges.
The RobotDoC Collegium is a multi-national doctoral training network for the interdisciplinary training on developmental cognitive robotics. The RobotDoc Fellows will acquire hands-on experience through experiments with the open-source humanoid robot iCub.
RoboSKIN will develop and demonstrate a range of new robot capabilities based on the tactile feedback provided by a robotic skin from large areas of the robot body. Up to now, a principled investigation of these topics has been limited by the lack of tactile sensing technologies.
IM-CLeVeR aims to develop a new methodology for designing robots controllers that can cumulatively learn new efficient skills through autonomous development based on intrinsic motivations, and reuse such skills for accomplishing multiple, complex, and externally-assigned tasks.
The goal of the eMorph project is to design asynchronous vision sensors with non-uniform morphology, using analog VLSI neuromorphic circuits, and to develop a supporting data-driven asynchronous computational paradigm for machine-vision.
Starting from the assumption that cognition is embodied, the ROSSI project addresses the question of how the possibility of communication between agents (e.g. humans and robots) is affected by differences in sensorimotor capacities.