reinforcement learning 2code generation 1curriculum learning 1dense rewards 1flow-based policies 1latent space 1mobile manipulation 1program synthesis 1trajectory planning 1
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cs.RO2026
RLMM-Flow: A Flow-based Mobile Manipulation Framework with Latent-Space Reinforcement Learning
Shuhang Wang, Ziming Li, Hui Cheng
The paper introduces RLMM-Flow, a framework that first learns a flow-based generative policy from expert demonstrations for mobile manipulation and then improves it with latent-spa…
cs.RO2025
NaviDiffusor: Cost-Guided Diffusion Model for Visual Navigation
Yiming Zeng, Hao Ren, Shuhang Wang +2
Visual navigation, a fundamental challenge in mobile robotics, demands versatile policies to handle diverse environments. Classical methods leverage geometric solutions to minimize…