  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 design of parts 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.
