Multi-Fidelity Robotic Behaviors: Acting with Variable State Information

Our work is driven by one of the core purposes of artificial intelligence: to develop real robotic agents that achieve complex high-level goals in real-time environments. Robotic behaviors select actions as a function of the state of the robot and of the world. Designing robust and appropriate robotic behaviors is a difficult because of noise, uncertainty and the cost of acquiring the necessary state information. We addressed this challenge within the concrete domain of robotic soccer with fully autonomous legged robots provided by Sony. In this paper, we present one of the outcomes of this

• Type: Conference
• Year: 2000
• Where: AAAI
• Authors: Elly Winner, Manuela M. Veloso
• Keywords: AAAI 2000, Intelligent Agents, Real Robotic Agents, Robotic, Robotic Behaviors