This paper presents a comprehensive study on using deep reinforcement learning (RL) to
create dynamic locomotion controllers for bipedal robots. Going beyond focusing on a single …

This paper provides a comprehensive review of the current status, advancements, and future
prospects of humanoid robots, highlighting their significance in driving the evolution of next …

Accurate and precise terrain estimation is a difficult problem for robot locomotion in real-
world environments. Thus, it is useful to have systems that do not depend on accurate …

Indoor service robots have been widely introduced in the fields of cleaning, delivery,
education, guidance, and healthcare, etc. in indoor environments. The mobility of an indoor …

We report on the results of a collaborative project that investigated the deployment of
humanoid robotic solutions in air-craft manufacturing for several assembly op erations …

Compliance control is important for the realization of disturbance absorption in biped robots.
However, under a sustained disturbance, compliance control causes the robot's balance to …

Recent advances in deep reinforcement learning (RL) based techniques combined with
training in simulation have offered a new approach to developing robust controllers for …

Capturability analysis of the linear inverted pendulum (LIP) model enabled walking with
constrained height based on the capture point. In this paper, we generalize this analysis to …

This paper describes the cybernetic avatar system developed by Team JANUS for
connectivity, exploration, and skill transfer: the core domains targeted by the ANA Avatar …

Maintaining stability and completing the required trajectory are the most important motion
control issues for a six-kinematic-degrees-of-freedom legged robot. Zero-moment point …