autonomous learning 1hierarchical agents 1self-improving robots 1visuomotor policies 1zero-demo manipulation 1
From the 1 of 4 linked papers with an AI index.
Showing cs.ROShow all
3 papers · 1 filter
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
Act, Sense, Act: Learning Active Perception from Large-Scale Egocentric Human Data
Jialiang Li, Yi Qiao, Yunhan Guo +2
Achieving generalizable manipulation in unconstrained environments requires the robot to proactively resolve information uncertainty, i.e., the capability of active perception. How…
cs.RO2025
SAGE: Scene Graph-Aware Guidance and Execution for Long-Horizon Manipulation Tasks
Jialiang Li, Wenzheng Wu, Gaojing Zhang +2
Successfully solving long-horizon manipulation tasks remains a fundamental challenge. These tasks involve extended action sequences and complex object interactions, presenting a cr…