This paper presents the design and learning architecture for an omnidirectional walk used by a humanoid robot soccer agent acting in the RoboCup 3D simulation environment. The wal...
Patrick MacAlpine, Samuel Barrett, Daniel Urieli, ...
Co-evolution has been receiving increased attention as a method for multi agent simultaneous learning. This paper discusses how multiple robots can emerge cooperative behaviors thr...
This paper describes a completely implemented, fully autonomous software system for soccer playing quadruped robots. The system includes real-time color vision, probabilistic loca...
Abstract. Robot soccer is a challenging research domain, which involves multiple agents (physical robots or ”softbots”) to work together in a dynamic, noisy, cooperative and ad...
Hui Wang, Han Wang, Chunmiao Wang, William Y. C. S...