近日,我国应急管理部与工业和信息化部联合发布《关于加快应急机器人发展的指导意见》,旨在提升应急机器人的智能化水平,以更好地应对复杂有限空间、高山峡谷、激流水域等特殊环境救援需求。该政策强调在无通信讯号、高浓度烟尘、地形条件复杂、水域浑浊流速快等极端恶劣条件下,应急机器人的环境自适应、多源信息融合、任务策略智能规划、自主智能侦察搜索等核心技术研究的重要性。

《指导意见》还特别提到,要突破无人机、机器人等装备集群协同作业关键技术,以及人机协同作业技术。这表明我国在智能化应急机器人领域的发展正在加速,以实现更高效、更安全的应急救援工作。

此外,加强云计算、人工智能、大数据等在应急机器人中的创新应用,也是提升机器人智能化水平的关键。通过这些先进技术的应用,应急机器人在面对复杂环境时,能够更加灵活、自主地完成救援任务。

Title: Accelerated Development of Intelligent Emergency Robots
Keywords: Intelligent emergency robots, innovation applications, rescue needs

News content:
Recently, the Ministry of Emergency Management and the Ministry of Industry and Information Technology of China jointly issued the “Guidelines for Accelerating the Development of Emergency Robots”, which aims to improve the level of intelligence of emergency robots to better address the rescue needs in complex limited spaces,高山峡谷, rapid flowing waters, and other special environments. The policy emphasizes the importance of core technologies such as environmental adaptation, multi-source information fusion, intelligent task planning, and autonomous intelligent reconnaissance and search of emergency robots under extreme harsh conditions such as no communication signals, high concentration of smoke and dust, complex terrain, and turbid water flow rate.

The Guidelines also specifically mention the need to break through key technologies such as the collaborative operation of equipment clusters involving drones and robots, as well as human-robot collaborative operations. This indicates that the development of intelligent emergency robots in China is accelerating to achieve more efficient and safer emergency rescue work.

In addition, the innovative application of technologies such as cloud computing, artificial intelligence, and big data in emergency robots is also key to improving their level of intelligence. Through the application of these advanced technologies, emergency robots can complete rescue tasks more flexibly and autonomously in complex environments.

【来源】https://36kr.com/newsflashes/2590149587237511

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