IC697MDL671 GE

There are many limitations in traditional 2D obstacle detection.Through artificial intelligence semantic segmentation,the situation of people or obstacles can be more effectively judged,and the detour efficiency can be improved.The robot system can improve the application efficiency and intelligence level.

The accelerated integration of new technologies and robotics will further promote the upgrading of products.The autonomy of mobile robots is mainly reflected in three aspects:”state perception”,”real-time decision-making”and”accurate execution”.The combination of next-generation information technologies such as the Internet of Things,AI,and 5G with robotics enables devices to interact efficiently,data flows more freely,and the hardware can be directed to maximize its effectiveness through algorithms.

传统的2D障碍物检测存在许多局限性，通过人工智能语义分割，可以更有效地判断人或障碍物的情况，提高绕行效率，机器人系统可以提升应用效率和智能化水平。

新技术与机器人技术的加速融合将进一步推动产品的更新换代。移动机器人的自主性主要体现在“状态感知”、“实时决策”、“准确执行”这三个方面。物联网、AI、5G等新一代信息技术与机器人技术相互结合，能够让设备高效交互，数据更加自由流动，并通过算法指挥硬件发挥最大效能。