We propose a physical benchmark for robotic picking:
overall design, objects, configuration, and guidance on appropriate
technologies to solve it. Challenges are an important way to
drive progress but they occur only occasionally and the test
conditions are difficult to replicate outside the challenge.
This benchmark is motivated by experience in the recent Amazon Picking Challenge and contains a commonly-available shelf, 42 objects, a set of stencils and standardized task setups.
A major focus through the design of this benchmark was to maximise reproducibility: a number of carefully chosen scenarios with precise instructions on how to place, orient, and align objects with the help of printable stencils are defined. To make the benchmark as accessible as possible to the research community, a white IKEA shelf is used for all picking tasks. Furthermore, we carefully curated a set of 42 objects to ensure global availability and reduced chance of import restrictions.
This page is continuously updated and should provide room for discussion in the wider robotics research community! Feel free to contact us!