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Robotic applications require the integration of various modalities,encompassing perception, control of real robots and possibly the control ofsimulated environments. While the state-of-the-art robotic software solutionssuch as ROS 2 provide most of the required features, flexible synchronizationbetween algorithms, data streams and control loops can be tedious. o80 is aversatile C++ framework for robotics which provides a shared memory model and acommand framework for real-time critical systems. It enables expert users toset up complex robotic systems and generate Python bindings for scientists.o80's unique feature is its flexible synchronization between processes,including the traditional blocking commands and the novel ``bursting mode'',which allows user code to control the execution of the lower process controlloop. This makes it particularly useful for setups that mix real and simulatedenvironments.

Synchronizing Machine Learning Algorithms, Realtime Robotic Control and Simulated Environment with o80