Showing cs.ROShow all
3 papers · 1 filter
cs.RO2026
ABot-N0: Technical Report on the VLA Foundation Model for Versatile Embodied Navigation
Zedong Chu, Shichao Xie, Xiaolong Wu +41
Embodied navigation has long been fragmented by task-specific architectures. We introduce ABot-N0, a unified Vision-Language-Action (VLA) foundation model that achieves a ``Grand U…
cs.RO2025
CE-Nav: Flow-Guided Reinforcement Refinement for Cross-Embodiment Local Navigation
Kai Yang, Tianlin Zhang, Zhengbo Wang +4
Generalizing local navigation policies across diverse robot morphologies is a critical challenge. Progress is often hindered by the need for costly and embodiment-specific data, th…
cs.RO2024
Novelty-based Sample Reuse for Continuous Robotics Control
Ke Duan, Kai Yang, Houde Liu +1
In reinforcement learning, agents collect state information and rewards through environmental interactions, essential for policy refinement. This process is notably time-consuming,…