A large body of compelling evidence has been accumulated demonstrating that embodiment-
the agent's physical setup, including its shape, materials, sensors and actuators-is …

The interaction of robotics with behavioral and cognitive sciences has always been tight. As
often described in the literature, the living has inspired the construction of many robots. Yet …

Current machine learning techniques proposed to automatically discover a robot's
kinematics usually rely on a priori information about the robot's structure, sensor properties …

In this survey we present different approaches that allow an intelligent agent to explore
autonomous its environment to gather information and learn multiple tasks. Different …

Many people still identify AI with GOFAI (Good Old Fashioned Artificial Intelligence), broadly
speaking'functionalist'and 2'symbolic'AI, or Machine Learning or Deep Learning …

The title of this book echoes Wiener's famous book 'Cybernetics: or Control and
Communication in the Animal and the Machine'[13]. Decades later, Wiener's view on natural …

Rather than try to learn skills directly, developmental learning seeks to create a general
purpose system inspired by the human developmental process. The premise is that …

Human intelligence has appealed to the robotics community for a long time; specifically, a
person's ability to learn new tasks efficiently and eventually master the task. This ability is the …