Archytas: A Framework for Synthesizing and Dynamically Optimizing Accelerators for Robotic Localization

摘要

Despite many recent efforts, accelerating robotic computing is still fundamentally challenging for two reasons. First, robotics software stack is extremely complicated. Manually designing an accelerator while meeting the latency, power, and resource specifications is unscalable. Second, the environment in which an autonomous machine operates constantly changes; a static accelerator design leads to wasteful computation.