EVA-Client: A Unified Data Collection, Inference, and Deployment Framework for Embodied Policies on Real Robots
Summary
EVA-Client is an open-source framework that unifies real-robot policy deployment, data collection, and evaluation through a component-decoupled architecture with inspectable execution workflows.
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Paper page - EVA-Client: A Unified Data Collection, Inference, and Deployment Framework for Embodied Policies on Real Robots
Source: https://huggingface.co/papers/2607.02646 Authors:
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Abstract
EVA-Client is an open-source framework that unifies real-robot policy deployment, data collection, and evaluation through a component-decoupled architecture with inspectable execution workflows.
We present EVA-Client, an open-source framework for deployment, data collection, and evaluation of trained manipulation policies on real robots. Sitting between a policy server and the physical hardware, EVA-Client unifies the real-robot stages of thepolicy iteration loopwithin a single codebase. It makes three contributions. First, a component-decoupled architecture in whichrobot backends,inference strategies, andtransport middlewaresform an orthogonal grid: adding a robot or a strategy touches only its own layer. Second, inspectable execution through Debug, Collect, andEval workflows, with modes ranging from open-loop simulation to continuousreal-time control. Third, every evaluation run doubles as a data collection, recording full rollouts in training-ready format alongside exhaustive logs and a side-by-side comparison viewer, so each evaluation feeds the next round of training rather than ending as an unrecorded impression. EVA-Client further consolidates major real-timeinference strategies, synchronous andasynchronous execution, ACT-styletemporal ensembling,Real-Time Chunking, and anaive-async ablation baseline, behind a single configuration surface.
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