Watch, Recall, Act: Always-On Robots in Concurrent Embodied Streams

arXiv:2609.28429 · cs.RO · Submitted 2026-09-23 · Read on arXiv

cs.RO

Submitted: 2026-09-23

Updated: 2026-09-23

Terminology

• In Conference on Robot Learning — 8× in this paper
• Benchmark — 6× in this paper · explained in 2 episodes
• Ablation — 5× in this paper · explained in 1 episode
• Conference on Computer Vision and Pattern Recognition — 3× in this paper
• Consistency — 3× in this paper · explained in 3 episodes
• Foundation Model — 3× in this paper · explained in 3 episodes
• Provenance — 3× in this paper · explained in 4 episodes
• Abstraction — 2× in this paper · explained in 1 episode
• Accuracy — 2× in this paper · explained in 1 episode
• Always-on Robot in Multi-modal Streams — 2× in this paper
• Benchmarking — 2× in this paper · explained in 3 episodes
• Foundation Models — 2× in this paper · explained in 7 episodes
• In International Conference on Learning Representations — 2× in this paper
• Temporal Reasoning — 2× in this paper · explained in 2 episodes
• Transformer — 2× in this paper · explained in 2 episodes
• Action Chunking — 1× in this paper · explained in 1 episode
• Action Flow — 1× in this paper · explained in 1 episode
• Adaptation — 1× in this paper · explained in 1 episode
• Adaptive Reasoning — 1× in this paper · explained in 2 episodes
• Arbiter — 1× in this paper · explained in 1 episode
• Core — 1× in this paper · explained in 2 episodes
• Deferral — 1× in this paper · explained in 2 episodes
• Diffusion Model — 1× in this paper · explained in 8 episodes
• Diffusion Models — 1× in this paper · explained in 6 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Grounding — 1× in this paper · explained in 3 episodes
• Instruction Tuning — 1× in this paper · explained in 2 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Tokenization — 1× in this paper · explained in 2 episodes

Sources

• ProactiveVideoQA: A Comprehensive Benchmark Evaluating Proactive Interactions in Video Large Language Models
• OmniPro: A Comprehensive Benchmark for Omni-Proactive Streaming Video Understanding
• RIVER: A Real-Time Interaction Benchmark for Video LLMs
• Em-Garde: A Propose-Match Framework for Proactive Streaming Video Understanding
• ReMem-VLA: Empowering Vision-Language-Action Model with Memory via Dual-Level Recurrent Queries
• SwitchVLA: Execution-Aware Task Switching for Vision-Language-Action Models
• Habilis-$\beta$: A Fast-Motion and Long-Lasting On-Device Vision-Language-Action Model
• VITA-E: Natural Embodied Interaction with Concurrent Seeing, Hearing, Speaking, and Acting
• RoboStream: Weaving Spatio-Temporal Reasoning with Memory in Vision-Language Models for Robotics
• Enter the Mind Palace: Reasoning and Planning for Long-term Active Embodied Question Answering
• Chameleon: Control-Indexed Prospective Memory for Visuomotor Manipulation
• Imagine, Verify, Execute: Memory-guided Agentic Exploration with Vision-Language Models
• Reflective Planning: Vision-Language Models for Multi-Stage Long-Horizon Robotic Manipulation
• VideoLLM-online: Online Video Large Language Model for Streaming Video
• StreamingVLM: Real-Time Understanding for Infinite Video Streams
• MMDuet2: Enhancing Proactive Interaction of Video MLLMs with Multi-Turn Reinforcement Learning
• Streaming Video Instruction Tuning
• StreamVLA: Breaking the Reason-Act Cycle via Completion-State Gating
• OneTwoVLA: A Unified Vision-Language-Action Model with Adaptive Reasoning
• Real-Time Execution of Action Chunking Flow Policies

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• HRDexDB: A 4D Dexterous Grasping Dataset Across Human and Multiple Robot Embodiments
• APT: Action Expert Pretraining Improves Instruction Generalization of Vision-Language-Action Policies
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