Embodied Operators and Benchmarking: Toward Reusable and Deployable Embodied Intelligence Systems

2026-07-03

AI Summary

Current embodied intelligence systems lack standardized, reusable functional modules, which limits their composability and evaluability. This work introduces the concept of “embodied operators” for the first time, formally defining their task semantics, input–output contracts, and deployment specifications. It establishes a taxonomy encompassing five operator categories: perception, localization, action recovery, decision-making, and control. Furthermore, the study proposes a multidimensional benchmarking framework comprising eight evaluation dimensions—including correctness, efficiency, stability, and portability—to systematically assess operator performance. By providing clear abstractions and standardized interfaces, this research lays the foundation for modular design, interoperable integration, and verifiable deployment in embodied intelligence systems.

Abstract

Embodied intelligence systems require not only end-to-end policy models, but also reusable functional modules that transform multimodal observations, robot states, human demonstrations, and task contexts into structured representations, decisions, trajectories, control references, and system services. This work defines these modules as embodied operators and studies them as independent yet composable units in embodied intelligence pipelines. We clarify their definition boundary, emphasizing task semantics, standardized input-output contracts, deployability, reusability, and multi-layer optimizability. We further construct a taxonomy covering five categories: detection and segmentation, spatial localization and 3D understanding, hand motion recovery, embodied foundation models and task-decision operators, and planning, control, and system support operators. For each category, we summarize representative functions, technical paradigms, application roles, and practical limitations. Beyond taxonomy, we propose a multi-dimensional benchmark framework that evaluates embodied operators in terms of correctness, end-to-end efficiency, resource usage, temporal stability, portability, interface compatibility, deployment reliability, and downstream task utility. We also discuss workflow-level operator acceleration and open challenges in operator composition, data standardization, world models, VLA safety, edge deployment, and real-world application value. Overall, this work argues that embodied operators should be optimized and evaluated as holistic deployable components, providing a foundation for reusable, scalable, and verifiable embodied intelligence systems.

Problem

• embodied intelligence
• reusable modules
• deployable systems
• functional operators
• benchmarking

Innovation

• embodied operators
• reusability
• deployability
• benchmarking framework
• modular embodied intelligence