We introduce RAMP, an open-source robotics benchmark inspired by real-world industrial assembly tasks. RAMP consists of beams that a robot must assemble into specified goal configurations using pegs as fasteners. As such it assesses planning and execution capabilities, and poses challenges in perception, reasoning, manipulation, diagnostics, fault recovery and goal parsing. RAMP has been designed to be accessible and extensible. Parts are either 3D printed or otherwise constructed from materials that are readily obtainable. The part design and detailed instructions are publicly available. In order to broaden community engagement, RAMP incorporates fixtures such as April Tags which enable researchers to focus on individual sub-tasks of the assembly challenge if desired. We provide a full digital twin as well as rudimentary baselines to enable rapid progress. Our vision is for RAMP to form the substrate for a community-driven endeavour that evolves as capability matures.

翻译：我们提出RAMP，这是一个受现实工业装配任务启发的开源机器人基准测试。该基准包含若干横梁，机器人需使用销钉作为紧固件将其组装为指定目标构型。因此，该基准能够评估规划与执行能力，并对感知、推理、操作、诊断、故障恢复及目标解析提出挑战。RAMP的设计注重可访问性与可扩展性。其部件可通过3D打印或易于获取的材料自行制造，部件设计图与详细说明已公开发布。为促进社区参与，RAMP集成了April Tag等辅助装置，研究者可根据需要专注于装配挑战中的具体子任务。我们提供了完整的数字孪生模型及基础基线方法，以支持快速研究推进。我们的愿景是让RAMP成为一个社区驱动、随技术成熟而持续演进的开放平台。