基于边缘计算的云原生机器人系统

Cloud native robot system based on edge computing

随着人工智能的飞速发展,全球机器人市场在持续扩大,机器人的能力从执行固定的操作发展到自主感知、理解和决策。但要实现机器人的大规模应用,需要机器人在有限功耗的限制下,具备强大的计算能力和低廉的部署成本。利用边缘计算提供性价比更高的服务,增强机器人本体的计算能力,实现规模化部署是实现这一目标的关键。分析了实现边缘增强的机器人系统面临的挑战,提出了基于边缘计算的云原生机器人系统,并探讨了实现该系统的4种可行的技术方案。提出的系统是由基于机器人本体的智能系统向云-边-端融合的多机器人协同的智能系统发展的趋势,也是实现机器人大规模应用的关键技术。

With the rapid development of artificial intelligence,the global robot market continues to grow quickly,and the capabilities of robots have evolved from performing fixed operations to the ability to autonomously sense,understand and make decisions.However,to achieve large-scale application of robots,robots need to have powerful computing capabilities and low deployment costs under the constraints of limited power consumption.Using edge computing to provide more cost-effective services,enhance the computing power of the robot body,and achieve large-scale deployment is the key to achieving this goal.The challenges faced by robot systems with the edge enhancement were analyzed,the concept of cloud-native robot systems based on edge computing was proposed,and four feasible technical solutions for implementing the system were discusses.The cloud-native robot system is the inevitable direction for the development of robot systems from intelligent systems based on robot ontology to cloud-edge-end fusion multi-robot collaborative intelligent systems and the key technology for promoting the large-scale application of robots.