Recent success of machine learning in many domains has been overwhelming, which often
leads to false expectations regarding the capabilities of behavior learning in robotics. In this …

In this report, we briefly present the technical procedure and simulation steps for the 2D
soccer simulation of team Cyrus. We emphasize on this document on how the prediction of …

In this text we look to the past to two distinct strands of research into autonomous robots,
evolutionary robotics and humanoid robot research, and how these strands are now …

This paper discusses the design and interface of NUClear, a new hybrid message-passing
architecture for embodied humanoid robotics. NUClear is modular, has low latency, and …

This paper presents a humanoid robot framework, composed of a simulator and a telemetry
interface. The framework is based on the Cross Architecture, and it is developed aiming for …

In RoboCup, source code releases after a competition are one important part of the
competition's overall progress. In particular teams in the Standard Platform League can …

As robots become more affordable, they will begin to exist in the world in greater quantities.
Some of these robots will likely be designed to act as components in specific teams. These …

RoboGrams is a lightweight and efficient message passing architecture that we designed for
the RoboCup domain and that has been successfully used by the Northern Bites SPL team …

Behavior learning is a promising alternative to planning and control for behavior generation
in robotics. The field is becoming more and more popular in applications where modeling …

Distributed Particle filter-based algorithms have been proven effective tools to model non-
linear and dynamic processes in Multi Robot Systems. In complex scenarios, where mobile …