A reinforcement learning framework to improve the soccer shooting skills of quadruped robots

Researchers University of California, Berkeley (UC Berkeley), Université de Montréal and Mila have recently developed a hierarchical reinforcement learning framework to improve the precision of quadrupedal robots in soccer shooting. This framework, introduced in a paper pre-published on arXiv, was deployed on a Unitree A1, a quadruped robot developed by UnitreeRobotics.
Source: Phys Org – Robotics