Process modeling and task execution of FIRA weight-lifting games with a humanoid robot
Journal
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Journal Volume
7429 LNAI
Pages
354-365
Date Issued
2012
Author(s)
Abstract
This paper presents a model-based implementation approach for controlling a humanoid robot to play weight-lifting games in FIRA HuroCup League. The Petri net-based wireless sensor node architecture (PN-WSNA) is used in this paper to perform the decision making for playing weight-lifting games according to visual perceptions. Furthermore, the PN-WSNA models are executed with a PN-WSNA inference engine, and the inferred decision is applied to an autonomous small size humanoid robot. Finally, the execution of the PN-WSNA models for playing a weight-lifting game is discussed to validate the feasibility of using PN-WSNA-based implementation approaches. ? 2012 Springer-Verlag.
Subjects
Humanoid robot
Implementation approach
model-based implementations
Process Modeling
Task executions
Visual perception
Wireless sensor node
Electric network synthesis
Petri nets
Robots
Anthropomorphic robots
Type
conference paper