Latent Policy Steering: An Efficient and Flexible Framework for Cross-Embodiment Transfer
cs.RO
Submitted: 2026-09-18
Updated: 2026-09-24
Terminology
Sources
- RT-1: Robotics Transformer for Real-World Control at Scale
- Octo: An Open-Source Generalist Robot Policy
- Scaling Laws for Autoregressive Generative Modeling
- Scaling Laws for Neural Language Models
- DreamDojo: A Generalist Robot World Model from Large-Scale Human Videos
- FlowRetrieval: Flow-Guided Data Retrieval for Few-Shot Imitation Learning
- Mastering Diverse Domains through World Models
- X-Diffusion: Training Diffusion Policies on Cross-Embodiment Human Demonstrations
- Latent Action Diffusion for Cross-Embodiment Manipulation
- RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control
- $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization
- OpenVLA: An Open-Source Vision-Language-Action Model
- LDA-1B: Scaling Latent Dynamics Action Model via Universal Embodied Data Ingestion
- Steering Your Generalists: Improving Robotic Foundation Models via Value Guidance
- Inference-Time Policy Steering through Human Interactions
- From Foresight to Forethought: VLM-In-the-Loop Policy Steering via Latent Alignment
- Language-Driven Representation Learning for Robotics
- R3M: A Universal Visual Representation for Robot Manipulation
- Where are we in the search for an Artificial Visual Cortex for Embodied Intelligence?
- AdaWorld: Learning Adaptable World Models with Latent Actions
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