Humanoid Robot Walking and Grasping Method Using Similarity Reward-Augmented Generative Adversarial Imitation Learning

This study aims to enhance the precision of humanoid robots in imitating complex human “walking–grasping” coordinated movements. Addressing limitations in sample efficiency and reward function design in Generative Adversarial Imitation Learning (GAIL), we propose the Similarity Reward-Augmented Gene...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Gen-Yong Huang, Wen-Feng Li
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	MDPI AG 2026-04-01
Sarja:	Sensors
Aiheet:	humanoid robot generative adversarial imitation learning similarity reward walking-grasping coordination maximum entropy reinforcement learning
Linkit:	https://www.mdpi.com/1424-8220/26/9/2756
Tagit:	Lisää tagi Ei tageja, Lisää ensimmäinen tagi!