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 …

We present a reinforcement learning (RL) framework that enables quadrupedal robots to
perform soccer goalkeeping tasks in the real world. Soccer goalkeeping with quadrupeds is …

This paper proposes a modular framework to generate robust biped locomotion using a tight
coupling between an analytical walking approach and deep reinforcement learning. This …

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 …

Soccer kicking is a complex whole-body motion that requires intricate coordination of
various motor actions. To accomplish such dynamic motion in a humanoid robot, the robot …

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 …

Legged soccer robots present a significant challenge in robotics owing to the need for
seamless integration of perception, manipulation, and dynamic movement. While existing …

In many application areas, Deep Reinforcement Learning (DRL) has led to breakthroughs.
In Curriculum Learning, the Machine Learning algorithm is not randomly presented with …