Francesco Lanza

10 posts

Inner Speech for a Self-Conscious Robot

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 […]

Consciousness in Humanoid Robots

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.

The Inner Life of a Robot in Human-Robot Teaming

Giving the robot a “human” inner life, such as the capability to think about itself and to understand what the other team members are doing, would increase the efficiency of trustworthy interactions with the other members of the team. Our long-term research goal is to provide the robot with a […]

Representing and Developing Knowledge using Jason, Cartago and OWL

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, […]

Decision process in human-agent interaction: extending jason reasoning cycle

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 […]

A Cognitive Architecture for Human-Robot Teaming Interaction.

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 […]

Knowledge acquisition through introspection in Human-Robot Cooperation

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 […]