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A Lua-based Behavior Engine for Controlling the Humanoid Robot Nao

  • Tim Niemüller
  • Alexander Ferrein
  • Gerhard Lakemeyer
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5949)

Abstract

The high-level decision making process of an autonomous robot can be seen as an hierarchically organised entity, where strategical decisions are made on the topmost layer, while the bottom layer serves as driver for the hardware. In between is a layer with monitoring and reporting functionality. In this paper we propose a behaviour engine for this middle layer which, based on formalism of hybrid state machines (HSMs), bridges the gap between high-level strategic decision making and low-level actuator control. The behaviour engine has to execute and monitor behaviours and reports status information back to the higher level. To be able to call the behaviours or skills hierarchically, we extend the model of HSMs with dependencies and sub-skills. These Skill-HSMs are implemented in the lightweight but expressive Lua scripting language which is well-suited to implement the behaviour engine on our target platform, the humanoid robot Nao.

Keywords

State Machine Multiagent System Humanoid Robot Jump Condition Hybrid Automaton 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Tim Niemüller
    • 1
  • Alexander Ferrein
    • 1
    • 2
  • Gerhard Lakemeyer
    • 1
  1. 1.Knowledge-based Systems GroupRWTH Aachen UniversityAachenGermany
  2. 2.Robotics and Agents Research LabUniversity of Cape TownCape TownSouth Africa

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