Legged robots can have a unique role in manipulating objects in dynamic, human-centric, or
otherwise inaccessible environments. Although most legged robotics research to date …

We address the problem of enabling quadrupedal robots to perform precise shooting skills
in the real world using reinforcement learning. Developing algorithms to enable a legged …

In the process of robot research and development, due to the vulnerability of hardware,
simulation environment is often used to verify and test algorithms first. RoboCup3D …

Robotic soccer simulation is a challenging area, where the development of new techniques
is paramount to remain competitive. Robotic skill evolution has accelerated with recent …

The RoboCup 3D Soccer Simulation League serves as a competitive platform for
showcasing innovation in autonomous humanoid robot agents through simulated soccer …

Nowadays, humanoid soccer serves as a benchmark for artificial intelligence and robotic
problems. The factors such as the kicking speed and the number of kicks by robot soccer …

In this paper we show that a model-free approach to learn behaviors in joint space can be
successfully used to utilize toes of a humanoid robot. Keeping the approach model-free …

We describe a novel approach to the evolution of whole-body behaviours in the Nao
humanoid robot using a multi-simulator approach to the alleviation of the reality gap issue …

This paper presents an evolution method used to modify the morphology of humanoids to
make them more efficient in a specific direction of walking. Starting from the NAO's model …

Incorporating a dynamic kick engine that is both fast and effective is pivotal to be competitive
in one of the world's biggest AI and robotics initiatives: RoboCup. Using the NAO robot as a …