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 …

Several magnetic resonance techniques have been proposed as non-invasive imaging
biomarkers for the evaluation of disease progression and early diagnosis of Alzheimer's …

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 …

Biped walking by using all joint movements and DOFs in both directions (sagittal plane and
coronal plane) is one of the most complicated research topics in robotics. In this paper …

Bipedal robots are essentially unstable because of their complex kinematics as well as high
dimensional state space dynamics, hence control and generation of stable walking is a …

Develo** an optimized omnidirectional walking for biped robots is a challenging task due
to their complex dynamics and kinematics. This paper proposes a hierarchical walk engine …

This paper proposes a framework designed to generate a closed-loop walking engine for a
humanoid robot. In particular, the core of this framework is an abstract dynamics model …

This paper proposes a method to develop an omnidirectional kick behavior for a humanoid
robot. The objective is to provide a humanoid with the ability to kick in different directions …

This paper investigates the learning of both low-level behaviors for humanoid robot
controllers and of high-level coordination strategies for teams of robots engaged in …