SPARK: Safe Protective and Assistive Robot Kit

Fuente: arXiv
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Autori principali: Sun, Yifan, Chen, Rui, Yun, Kai S., Fang, Yikuan, Jung, Sebin, Li, Feihan, Li, Bowei, Zhao, Weiye, Liu, Changliu
Natura: Preprint
Pubblicazione: 2025
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author Sun, Yifan
Chen, Rui
Yun, Kai S.
Fang, Yikuan
Jung, Sebin
Li, Feihan
Li, Bowei
Zhao, Weiye
Liu, Changliu
author_facet Sun, Yifan
Chen, Rui
Yun, Kai S.
Fang, Yikuan
Jung, Sebin
Li, Feihan
Li, Bowei
Zhao, Weiye
Liu, Changliu
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2502_03132
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle SPARK: Safe Protective and Assistive Robot Kit
Sun, Yifan
Chen, Rui
Yun, Kai S.
Fang, Yikuan
Jung, Sebin
Li, Feihan
Li, Bowei
Zhao, Weiye
Liu, Changliu
Robotics
Systems and Control
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.
title SPARK: Safe Protective and Assistive Robot Kit
topic Robotics
Systems and Control
url https://arxiv.org/abs/2502.03132