HIRE: History-Conditioned Interaction Reasoning and High-Rate Execution for Visually Aliased Precision Manipulation
cs.RO
Submitted: 2026-09-25
Updated: 2026-09-25
Terminology
Sources
- Octo: An Open-Source Generalist Robot Policy
- OpenVLA: An Open-Source Vision-Language-Action Model
- $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control
- $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization
- Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware
- RT-1: Robotics Transformer for Real-World Control at Scale
- TA-VLA: Elucidating the Design Space of Torque-aware Vision-Language-Action Models
- FM-VLA: Force-based Memory for Vision-Language-Action Models in Contact-Rich Manipulation
- Reactive Diffusion Policy: Slow-Fast Visual-Tactile Policy Learning for Contact-Rich Manipulation
- Force Policy: Learning Hybrid Force-Position Control Policy under Interaction Frame for Contact-Rich Manipulation
- RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control
- RT-H: Action Hierarchies Using Language
- CogACT: A Foundational Vision-Language-Action Model for Synergizing Cognition and Action in Robotic Manipulation
- 3D-ViTac: Learning Fine-Grained Manipulation with Visuo-Tactile Sensing
- KineDex: Learning Tactile-Informed Visuomotor Policies via Kinesthetic Teaching for Dexterous Manipulation
- CRAFT: Adapting VLA Models to Contact-rich Manipulation via Force-aware Curriculum Fine-tuning
- MAP-VLA: Memory-Augmented Prompting for Vision-Language-Action Model in Robotic Manipulation
- Memory Retrieval in Visuomotor Policies for Long-Horizon Robot Control
- Global Prior Meets Local Consistency: Dual-Memory Augmented Vision-Language-Action Model for Efficient Robotic Manipulation
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