TaskAnchor: Grounding Task State in Reactive VLAs for Long-Horizon Manipulation
cs.RO
Submitted: 2026-09-20
Updated: 2026-09-29
Terminology
Sources
- $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control
- $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization
- RMBench: Memory-Dependent Robotic Manipulation Benchmark with Insights into Policy Design
- See, Plan, Rewind: Progress-Aware Vision-Language-Action Models for Robust Robotic Manipulation
- Long-VLA: Unleashing Long-Horizon Capability of Vision Language Action Model for Robot Manipulation
- Xiaomi-Robotics-1: Scaling Vision-Language-Action Models with over 100K Hours of Real-World Trajectories
- ViT$^3$: Unlocking Test-Time Training in Vision
- Inner Monologue: Embodied Reasoning through Planning with Language Models
- ProgVLA: Progress-Aware Robot Manipulation Skill Learning
- RoboMemArena: A Comprehensive and Challenging Robotic Memory Benchmark
- ReMem-VLA: Empowering Vision-Language-Action Model with Memory via Dual-Level Recurrent Queries
- MemoryVLA++: Temporal Modeling via Memory and Imagination in Vision-Language-Action Models
- Learning to (Learn at Test Time): RNNs with Expressive Hidden States
- A Pragmatic VLA Foundation Model
- ProgressVLA: Progress-Guided Diffusion Policy for Vision-Language Robotic Manipulation
- LoHoVLA: A Unified Vision-Language-Action Model for Long-Horizon Embodied Tasks
- Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware
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