RAMP: a benchmark for evaluating robotic assembly manipulation and planning
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 perce...
| Main Authors: | , , , , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
IEEE
2023
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| _version_ | 1797111851812651008 |
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| author | Collins, J Robson, M Yamada, J Sridharan, M Janik, K Posner, I |
| author_facet | Collins, J Robson, M Yamada, J Sridharan, M Janik, K Posner, I |
| author_sort | Collins, J |
| collection | OXFORD |
| description | 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. |
| first_indexed | 2024-03-07T08:14:44Z |
| format | Journal article |
| id | oxford-uuid:d73796e9-10a3-4f69-adb1-494a85257211 |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-07T08:14:44Z |
| publishDate | 2023 |
| publisher | IEEE |
| record_format | dspace |
| spelling | oxford-uuid:d73796e9-10a3-4f69-adb1-494a852572112023-12-18T14:38:08ZRAMP: a benchmark for evaluating robotic assembly manipulation and planningJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:d73796e9-10a3-4f69-adb1-494a85257211EnglishSymplectic ElementsIEEE2023Collins, JRobson, MYamada, JSridharan, MJanik, KPosner, IWe 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. |
| spellingShingle | Collins, J Robson, M Yamada, J Sridharan, M Janik, K Posner, I RAMP: a benchmark for evaluating robotic assembly manipulation and planning |
| title | RAMP: a benchmark for evaluating robotic assembly manipulation and planning |
| title_full | RAMP: a benchmark for evaluating robotic assembly manipulation and planning |
| title_fullStr | RAMP: a benchmark for evaluating robotic assembly manipulation and planning |
| title_full_unstemmed | RAMP: a benchmark for evaluating robotic assembly manipulation and planning |
| title_short | RAMP: a benchmark for evaluating robotic assembly manipulation and planning |
| title_sort | ramp a benchmark for evaluating robotic assembly manipulation and planning |
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