Learning to Assist: Collaborative VLAs for Implicit Human-Robot Collaboration
cs.RO
Submitted: 2026-06-10
Updated: 2026-10-13
Comments: CoRL 2026
Project page: https://learning-to-assist.github.io
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control
- OpenVLA: An Open-Source Vision-Language-Action Model
- mimic-video: Video-Action Models for Generalizable Robot Control Beyond VLAs
- World Action Models are Zero-shot Policies
- On the Opportunities and Risks of Foundation Models
- Yell At Your Robot: Improving On-the-Fly from Language Corrections
- OneTwoVLA: A Unified Vision-Language-Action Model with Adaptive Reasoning
- IntentionVLA: Generalizable and Efficient Embodied Intention Reasoning for Human-Robot Interaction
- Hi Robot: Open-Ended Instruction Following with Hierarchical Vision-Language-Action Models
- To the Noise and Back: Diffusion for Shared Autonomy
- Mixture of Horizons in Action Chunking
- VLA Knows Its Limits: Adaptive Execution Horizons for Robot Policies
- Multi-Cycle Spatio-Temporal Adaptation in Human-Robot Teaming
- Probabilistically Safe Robot Planning with Confidence-Based Human Predictions
- Robotic Assistant: Completing Collaborative Tasks with Dexterous Vision-Language-Action Models
- $\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization
- VLASH: Real-Time VLAs via Future-State-Aware Asynchronous Inference
- SAIL: Faster-than-Demonstration Execution of Imitation Learning Policies
- A General Framework for Inference-time Scaling and Steering of Diffusion Models
- MemoryVLA: Perceptual-Cognitive Memory in Vision-Language-Action Models for Robotic Manipulation
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- ARC: A Reasoning Recipe for Robot Foundation Models
- HRDexDB: A 4D Dexterous Grasping Dataset Across Human and Multiple Robot Embodiments
- APT: Action Expert Pretraining Improves Instruction Generalization of Vision-Language-Action Policies