A communication-aware execution method uses a request-response window and available connectivity maps to select request points during primitive execution, yielding best or tied-best task success with fewer attempts and lower failure rates in measured indoor scenarios.
Asyncvla: An asynchronous vla for fast and robust navigation on the edge
3 Pith papers cite this work. Polarity classification is still indexing.
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cs.RO 3years
2026 3verdicts
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AsyncShield restores VLA geometric intent from latency via kinematic pose mapping and uses PPO-Lagrangian to balance tracking with LiDAR safety constraints in a plug-and-play module.
AHA-WAM is a dual-DiT asynchronous world-action model with horizon-adaptive offset training and OVCR routing that reports 92.8% success on RoboTwin and 78.3% on real tasks at 24.17 Hz without robot pretraining.
citing papers explorer
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Communication-Aware Robot Execution for Cloud Inference under Spatially Heterogeneous Connectivity
A communication-aware execution method uses a request-response window and available connectivity maps to select request points during primitive execution, yielding best or tied-best task success with fewer attempts and lower failure rates in measured indoor scenarios.
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AsyncShield: A Plug-and-Play Edge Adapter for Asynchronous Cloud-based VLA Navigation
AsyncShield restores VLA geometric intent from latency via kinematic pose mapping and uses PPO-Lagrangian to balance tracking with LiDAR safety constraints in a plug-and-play module.
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AHA-WAM:Asynchronous Horizon-Adaptive World-Action Modeling with Observation-Guided Context Routing
AHA-WAM is a dual-DiT asynchronous world-action model with horizon-adaptive offset training and OVCR routing that reports 92.8% success on RoboTwin and 78.3% on real tasks at 24.17 Hz without robot pretraining.