Hierarchical Vision-Language Planning for Multi-Step Humanoid Manipulation

André Schakkal, Ben Zandonati, Zhutian Yang, Navid Azizan

RSS 2025 Workshop on Robot Planning in the Era of Foundation Models

IEEE Humanoids 2026 Main Track

TL;DR: This work introduces a hierarchical and modular vision-language architecture for multi-step humanoid manipulation tasks. Specifically, we leverage vision-language models (VLMs) for high-level planning and action-chunking transformer (ACT) and whole-body RL for mid and low-level control.

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