Recursive Harness Distillation across Agents for Robot Manipulation
cs.RO, cs.AI, cs.CV, cs.LG
Submitted: 2026-09-27
Updated: 2026-09-27
Terminology
Sources
- Do As I Can, Not As I Say: Grounding Language in Robotic Affordances
- GR00T N1: An Open Foundation Model for Generalist Humanoid Robots
- $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control
- RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control
- VoLo: A Physical Orchestrator for Open-Vocabulary Long-Horizon Manipulation
- Addressing the Orchestration Gap in Generalist Robots via Physical Agency
- Distilling the Knowledge in a Neural Network
- What Matters in Orchestrating Robot Policies: A Systematic Study of Hierarchical VLA Agents
- Inner Monologue: Embodied Reasoning through Planning with Language Models
- VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models
- $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization
- Learning What to Say to Your VLA: Mostly Harmless Vision Language Action Model Steering
- OpenVLA: An Open-Source Vision-Language-Action Model
- Evaluating Real-World Robot Manipulation Policies in Simulation
- VLS: Steering Pretrained Robot Policies via Vision-Language Models
- Learning to Teach with Student Feedback
- Octo: An Open-Source Generalist Robot Policy
- ReAct: Synergizing Reasoning and Acting in Language Models
- LIBERO-PRO: Towards Robust and Fair Evaluation of Vision-Language-Action Models Beyond Memorization
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