FPGAによるロボティクス計算：現状の進展、研究課題と機会
Robotic Computing on FPGAs: Current Progress, Research Challenges, and Opportunities
ロボット応用向けのFPGA計算基盤について、低消費電力・高性能・再構成可能といった特長を活かした現状の進展と設計手法、課題を概観したサーベイ。
著者: Zishen Wan, Ashwin Lele, Bo Yu, Shaoshan Liu, Yu Wang, Vijay Janapa Reddi, Cong Hao, Arijit Raychowdhury
分類: cs.RO
原文アブストラクト
Robotic computing has reached a tipping point, with a myriad of robots (e.g., drones, self-driving cars, logistic robots) being widely applied in diverse scenarios. The continuous proliferation of robotics, however, critically depends on efficient computing substrates, driven by real-time requirements, robotic size-weight-and-power constraints, cybersecurity considerations, and dynamically changing scenarios. Within all platforms, FPGA is able to deliver both software and hardware solutions with low power, high performance, reconfigurability, reliability, and adaptivity characteristics, serving as the promising computing substrate for robotic applications. This paper highlights the current progress, design techniques, challenges, and open research challenges in the domain of robotic computing on FPGAs.
