Work

ALife in humanoids: Developing a framework to employ artificial life techniques for high-level perception and cognition tasks on humanoid robots

Year: 2013

Type: conference-paper

Abstract: We describe our recent research and advances in building a framework enabling artifical life (ALife) systems on real robotic hardware. Our framework allows our iCub humanoid to build better visual perception, improve its motion capabilities and even provide a sense of proprioception. This paper presents how we can use various techniques, such as, e.g., genetic programming, to build subsystems for these specific areas. Our framework runs in parallel with the hardware system and is updated with new information from the real robot. We plan to use this framework in the future for developing higher cognitive tasks, such as, scene understanding, prediction of action outcomes, and reasoning on our robot.

Source: QUT ePrints (Queensland University of Technology)

Authors: Jürgen Leitner, Simon Harding, Mikhail Frank, Alexander Förster, Jürgen Schmidhuber

Institution: Dalle Molle Institute for Artificial Intelligence Research

Language: English

Topic: Psychiatry, Mental Health, Neuroscience

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funders: European Commission, FP7 Information and Communication Technologies

Awards: G2203972493, Intrinsically Motivated Cumulative Learning Versatile Robots

OpenAlex ID: W2736168556