The experience self-conscious thinking in the verbose form of inner speech is a common one. Such a covert dialogue accompanies the introspection of mental life and fulfills important roles in our cognition, such as self-regulation, self-restructuring, and re-focusing on attentional resources. Although the functional underpinning and the phenomenology of inner […]
USAF Grant – Research Interests of the Air Force Office of Scientific Research 01 JUL 2019 – 30 JUN 2022 The project RESPECT investigates the strategic coupling of cognitive robotics modeling and empirical human-robot interaction experiments to analyze the role of inner speech in the development of trust interactions between […]
Internal Project (Fondi Margine) 01 JAN 2019 – 31 DEC 2021 The project aims at investigating and developing software architectures for a conscious humanoid robot that considers suggestions from robotics and artificial systems, computational science, psychology, philosophy of mind, ethics, and neuroscience.
Contexts where agents and humans are required to collaborate and cooperate in a human-like fashion are complex systems where a high degree of self-adaptability of every component is demanding. A fundamental ingredient when developing and implementing this kind of systems is the knowledge representation. Knowledge of the goals, the environment, […]
The main characteristic of an agent is acting on behalf of humans. Then, agents are employed as modeling paradigms for complex systems and their implementation. Today we are witnessing a growing increase in systems complexity, mainly when the presence of human beings and their interactions with the system introduces a […]
Human-robot interaction finalized to cooperation and teamwork is a demanding research task, both under the development and the implementation point of view. In this context, cognitive architectures are a useful means for representing the cognitive perception-action cycle leading the decision-making process. In this paper, we present ongoing work on a […]
When cooperating with a team including humans, robots have to understand and update semantic information concerning the state of the environment. The run-time evaluation and acquisition of new concepts fall in the critical mass learning. It is a cognitive skill that enables the robot to show environmental awareness to complete its tasks […]