Kuo C.-H.Kuo Y.-C.Chen T.-S.CHUNG-HSIEN KUO2022-05-242022-05-242012https://www.scopus.com/inward/record.uri?eid=2-s2.0-84865030880&doi=10.1007%2f978-3-642-32527-4_32&partnerID=40&md5=930d8a09a24b4b1ac17d42d93847e5dehttps://scholars.lib.ntu.edu.tw/handle/123456789/611594This 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.Humanoid robotImplementation approachmodel-based implementationsProcess ModelingTask executionsVisual perceptionWireless sensor nodeElectric network synthesisPetri netsRobotsAnthropomorphic robotsconference paper10.1007/978-3-642-32527-4_322-s2.0-84865030880