← 研踪 PaperTrailarXiv:2611.15443 · v1
SPARC: RoboCup Standard Platform for Autonomous Rescue Competition with Initial Datasets, Software, and Simulation Environments
首次提交 2026-11-11 21:15
版本更新 2026-11-11 21:15
雷达观测 2026-11-13 11:11
摘要
The RoboCup Standard Platform for Autonomous Rescue Competition (SPARC) is a new competition under development of the RoboCup Rescue Robot League that uses the Unitree A2-W as a common robot platform. SPARC aims to make research on artificial intelligence for autonomous rescue robots accessible to a broader research community, including groups without expertise in developing and maintaining custom robot hardware. By providing a capable standard platform and established benchmark environments, researchers can focus on autonomous navigation, perception, manipulation, and embodied AI for challenging disaster-response scenarios. This paper introduces the SPARC competition, its benchmark environment, and the Unitree A2-W standard platform. Furthermore, we present the first open SPARC datasets collected during the IEEE ICRA 2026 Legged Robot Challenges and RoboCup Rescue 2026, release an open-source software stack for autonomous navigation, and provide initial simulation assets representing RoboCup Rescue test environments. Together, these resources aim to lower the barrier to entry for autonomous rescue robotics and facilitate reproducible research and collaborative development on a common hardware platform.
作者备注：IEEE SSRR 2026
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v1 · 2026-11-11 21:15 · 最新观测版本
SPARC: RoboCup Standard Platform for Autonomous Rescue Competition with Initial Datasets, Software, and Simulation Environments
The RoboCup Standard Platform for Autonomous Rescue Competition (SPARC) is a new competition under development of the RoboCup Rescue Robot League that uses the Unitree A2-W as a common robot platform. SPARC aims to make research on artificial intelligence for autonomous rescue robots accessible to a broader research community, including groups without expertise in developing and maintaining custom robot hardware. By providing a capable standard platform and established benchmark environments, researchers can focus on autonomous navigation, perception, manipulation, and embodied AI for challenging disaster-response scenarios. This paper introduces the SPARC competition, its benchmark environment, and the Unitree A2-W standard platform. Furthermore, we present the first open SPARC datasets collected during the IEEE ICRA 2026 Legged Robot Challenges and RoboCup Rescue 2026, release an open-source software stack for autonomous navigation, and provide initial simulation assets representing RoboCup Rescue test environments. Together, these resources aim to lower the barrier to entry for autonomous rescue robotics and facilitate reproducible research and collaborative development on a common hardware platform.
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