Whole-body humanoid robot locomotion with human reference
Recently, humanoid robots have made significant advances in their ability to perform
challenging tasks due to the deployment of Reinforcement Learning (RL), however, the …
challenging tasks due to the deployment of Reinforcement Learning (RL), however, the …
Humanmimic: Learning natural locomotion and transitions for humanoid robot via wasserstein adversarial imitation
Transferring human motion skills to humanoid robots remains a significant challenge. In this
study, we introduce a Wasserstein adversarial imitation learning system, allowing humanoid …
study, we introduce a Wasserstein adversarial imitation learning system, allowing humanoid …
Reinforcement Learning of Bipedal Walking Using a Simple Reference Motion
N Itahashi, H Itoh, H Fukumoto, H Wakuya - Applied Sciences, 2024 - mdpi.com
In this paper, a novel reinforcement learning method that enables a humanoid robot to learn
bipedal walking using a simple reference motion is proposed. Reinforcement learning has …
bipedal walking using a simple reference motion is proposed. Reinforcement learning has …
From Rolling Over to Walking: Enabling Humanoid Robots to Develop Complex Motor Skills
F Meng, J **ao - arxiv preprint arxiv:2303.02581, 2023 - arxiv.org
This paper presents an innovative method for humanoid robots to acquire a comprehensive
set of motor skills through reinforcement learning. The approach utilizes an achievement …
set of motor skills through reinforcement learning. The approach utilizes an achievement …