The Journal of Artificial Intelligence and Consciousness (JAIC) will offer a multidisciplinary platform to discuss AI and consciousness in the light of robotics and artificial systems, computational science, psychology, philosophy of mind, ethics, and neuroscience. The aims and scope of the journal are: (i) articles that take inspiration from biological consciousness and/or that explore theoretical issues of consciousness to build robots and AI systems that show forms of functional consciousness; (ii) articles that employ robots and AI systems as tools to model and better understand biological mechanisms of consciousness; (iii) articles that discuss ethical problems emerging or uncovered through the overlap of AI and consciousness, and that investigate the ethical and societal impact of consciousness and the limits of it, and (iv) to pursue the hybridization between the field of AI and the field of consciousness studies.

Get details at World Scientific website.

A current challenge in robot software architectures in autonomous applications is to address task, contingency and system handling while performing tasks. Current solutions in ROS and ROS2 are typically based on complex, distributed logic that interweaves the three aspects, resulting in maintainability, reusability and reliability issues. The objective of MROS is to leverage the RobMoSys model-based approach at runtime, to provide a solution for ROS2 systems, based on architectural self- adaptation driven by ontology reasoning on the architecture models. The solution will be applied to the ROS2 Navigation stack, and demonstrated in two variants of the RobMoSys Intralogistics pilot, with the Thiago platform and with a Bosch consumer- product prototype. MROS will connect the ROS2 and RobMoSys frameworks, and further enable a metamodeling-sound usage of ontologies for robot software architecting.

“Composeable models@runtime of ROS2 software will support more adaptable and reliable autonomous robots”

The project is leaded by Carlos Hernandez, from Delft University of Technology. Other partners are Robert Bosch Gmbh and Universidad Rey Juan Carlos.

ROBOMINERS will develop a bio-inspired, modular and reconfigurable robot miner for small and difficult to access deposits. The aim is to create an amphibious robot that is capable of mining underground, underwater, in slurries or above water, and can be delivered in modules to the deposit via a large diameter borehole.

Our responsibility in the project is the creation of a metacontrol layer to drive the adaptation of the robot to new circumstances.

The project is leaded by Claudio Rossi. Find more information at the project website: https://robominers.eu/.