arXiv:2502.03132cs.ROcs.SY2025-02被引 6

SPARK为具身机器人提供可配置的安全控制工具包,兼顾安全与性能。

SPARK: Safe Protective and Assistive Robot Kit

  • 模块化框架集成先进安全算法,支持灵活配置安全阈值。
  • 覆盖仿真与真实机器人部署,支持多种传感器接入。
  • 适合研究者快速验证安全策略,加速人形机器人研发。

本文提出安全防护与辅助机器人套件(SPARK),一个全面的基准平台,旨在保障人形机器人自主与遥操作中的安全性。由于人形机器人具备与复杂环境交互的物理能力,其结构复杂性给通用安全解决方案的设计带来挑战。为促进复杂机器人系统的安全部署,SPARK提供一个模块化、可组合的机器人控制框架,集成前沿安全控制算法。用户可轻松配置安全标准与敏感度,以在安全与性能间取得平衡。为加速人形机器人安全研究,SPARK提供多种环境、任务和机器人模型下的仿真基准,用于对比不同安全方法。此外,SPARK支持将合成的安全控制器快速部署至真实机器人。硬件部署方面,支持Apple Vision Pro(AVP)或动作捕捉系统作为外部传感器,并保留接口以适配其他硬件方案。本文通过仿真实验及与Unitree G1人形机器人的案例研究,验证了SPARK的有效性。借助SPARK,研究者与用户可显著提升人形系统安全性并加速相关研究。开源代码已发布于:https://github.com/intelligent-control-lab/spark。

原文摘要 · Abstract (English)

This paper introduces the Safe Protective and Assistive Robot Kit (SPARK), a comprehensive benchmark designed to ensure safety in humanoid autonomy and teleoperation. Humanoid robots pose significant safety risks due to their physical capabilities of interacting with complex environments. The physical structures of humanoid robots further add complexity to the design of general safety solutions. To facilitate safe deployment of complex robot systems, SPARK can be used as a toolbox that comes with state-of-the-art safe control algorithms in a modular and composable robot control framework. Users can easily configure safety criteria and sensitivity levels to optimize the balance between safety and performance. To accelerate humanoid safety research and development, SPARK provides simulation benchmarks that compare safety approaches in a variety of environments, tasks, and robot models. Furthermore, SPARK allows quick deployment of synthesized safe controllers on real robots. For hardware deployment, SPARK supports Apple Vision Pro (AVP) or a Motion Capture System as external sensors, while offering interfaces for seamless integration with alternative hardware setups at the same time. This paper demonstrates SPARK's capability with both simulation experiments and case studies with a Unitree G1 humanoid robot. Leveraging these advantages of SPARK, users and researchers can significantly improve the safety of their humanoid systems as well as accelerate relevant research. The open source code is available at: https://github.com/intelligent-control-lab/spark.

人形机器人安全控制仿真基准实时部署

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