autonomous learning 1hierarchical agents 1self-improving robots 1visuomotor policies 1zero-demo manipulation 1
From the 1 of 3 linked papers with an AI index.
3 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.AI2026
From Digital to Physical: Digital Agents as Autonomous Coaches for Physical Intelligence
Zixing Lei, Genjia Liu, Yuanshuo Zhang +11
The field of Embodied AI is witnessing a rapid evolution toward general-purpose robotic systems, fueled by high-fidelity simulation and large-scale data collection. However, this s…
cs.RO2026
CLASH: Collision Learning via Augmented Sim-to-real Hybridization to Bridge the Reality Gap
Haotian He, Ning Guo, Siqi Shi +2
The sim-to-real gap, particularly in the inaccurate modeling of contact-rich dynamics like collisions, remains a primary obstacle to deploying robot policies trained in simulation.…