ORIANNA: An Accelerator Generation Framework for Optimization-based Robotic Applications

摘要

Despite extensive efforts, existing approaches to design accelerators for optimization-based robotic applications have limitations. Some approaches focus on accelerating general matrix operations, but they fail to fully exploit the specific sparse structure commonly found in many robotic algorithms. On the other hand, certain methods require manual design of dedicated accelerators, resulting in inefficiencies and significant non-recurring engineering (NRE) costs.