2024 Volume 42 Issue 2 Pages 189-192
Service robot systems, especially household robot systems, have recently achieved adaptability in various environments and tasks by leveraging some machine learning modules. In developing and verifying such data-driven robotic systems, not only the hardware, programs, and communications but also the data and models used are components to be considered. This paper discusses effective data-driven development processes for such service robot systems by introducing and discussing case studies from the WRS2020 Partner Robot Challenge.