Ikaros : A framework for controlling robots with system-level brain models

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DOI:
| Published | English
Authors:
Balkenius, Christian ; Johansson, Birger ; Tjøstheim, Trond A.
Department:
Cognitive Science
Cognitive modeling
eSSENCE: The e-Science Collaboration
Project:
Ikaros: An infrastructure for system level modelling of the brain
Lund University AI Research
Ethics for autonomous systems/AI
Wallenberg AI, Autonomous Systems and Software Program – Humanities and Society
Research Group:
Cognitive modeling
Abstract:

Ikaros is an open framework for system-level brain modeling and real-time robot control. Version 2 of the system includes a range of computational components that implements various algorithms and methods ranging from models of neural circuits to control systems and hardware interfaces for robot. Ikaros supports the design and implementation of large-scale computation models using a flow programming paradigm. Version 2 includes a number of new features that support complex networks of hierarchically arranged components as well as a web-based interactive editor. More than 100 persons have contributed to the code base and over 100 scientific publications report on work that has used Ikaros for simulations or robot control.

Keywords:
robot control ; Robotics middleware ; system-level brain modeling
ISSN:
1729-8806
LUP-ID:
696a01cb-9d76-4eec-acc8-0c2bd80bc47a | Link: https://lup.lub.lu.se/record/696a01cb-9d76-4eec-acc8-0c2bd80bc47a | Statistics

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