论文标题
FPGA上的机器人计算：当前的进度，研究挑战和机遇
Robotic Computing on FPGAs: Current Progress, Research Challenges, and Opportunities
论文作者
论文摘要
机器人计算已经达到了一个临界点，其中有无数的机器人（例如无人机，自动驾驶汽车，逻辑机器人）被广泛应用于各种情况。然而，机器人技术的连续扩散在很大程度上取决于有效的计算基材，这是由实时需求，机器人大小和功率约束，网络安全考虑以及动态变化的场景驱动的。在所有平台中，FPGA都能以低功率，高性能，可重新配置，可靠性和适应性特征来交付软件和硬件解决方案，并作为机器人应用程序的有希望的计算基板。本文重点介绍了FPGA机器人计算领域的当前进展，设计技术，挑战和开放研究挑战。
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.
