The performance of data fusion and tracking algorithms often depends on
...
Reinforcement learning (RL) is already widely applied to applications su...
In this paper, we propose a novel Deep Reinforcement Learning approach t...
For several years, high development and production costs of humanoid rob...
Individual and team capabilities are challenged every year by rule chang...
Over the past few years, the Humanoid League rules have changed towards ...
Humanoid robotics research depends on capable robot platforms, but recen...
The trend in the RoboCup Humanoid League rules over the past few years h...
Walking controllers often require parametrization which must be tuned
ac...
In order to pursue the vision of the RoboCup Humanoid League of beating ...
The ongoing evolution of the RoboCup Humanoid League led in 2017 to the
...