autonomous learning 1hierarchical agents 1self-improving robots 1visuomotor policies 1zero-demo manipulation 1
From the 1 of 2 linked papers with an AI index.
2 papers
cs.RO2026
Practice Makes Policies: Bootstrapping and Consolidating Robotic Capabilities from Zero Human Demonstrations
Jialiang Li, Yuhan Wang, Haojun Li +5
The paper introduces HERO, a hierarchical embodied robot agent that autonomously learns manipulation skills from scratch without human demonstrations by bootstrapping experience, r…
cs.RO2026
One Demonstration Is Enough for Real-World Robotic Reinforcement Learning
Yuwan Liu, Hongze Yu, Song Liu +5
Learning effective robot control policies on physical hardware is challenging due to costly data collection and the difficulty of reward specification. Prior work has incorporated…