Course Code: aiagentsrobot
Duration: 21 hours
Prerequisites:
  • 對人工智慧和機器學習原則有深入了解
  • 有使用ROS等機器人框架的經驗
  • 能熟練使用AI驅動的機器人Python或C++

觀眾

  • Robotics工程師
  • AI研究人員
  • 自動化專家
Overview:

AI代理正在與機器人集成,以進行現實世界的決策、自主導航和工業自動化。

這個由講師主導的在線(或現場)實時培訓課程旨在讓高級機器人工程師、AI研究人員和自動化專家掌握AI驅動的自主機器人系統的開發,這些系統旨在應對複雜任務和人類-AI協作。

完成本次培訓後,參加者將能夠:

  • 了解AI代理在機器人決策和自動化中的作用。
  • 實施AI驅動的導航和避障。
  • 開發人類-AI協作機器人系統。
  • 在機器人中部署AI驅動的感知和控制系統。

課程形式

  • 互動講座和討論。
  • 大量的實驗和實踐。
  • 在現場實驗室環境中進行實踐。

課程定制選項

  • 如需請求本課程的定制培訓,請與我們聯繫以安排。
Course Outline:

介绍AI Agents在Robotics中的应用

  • 机器人中AI应用的概述
  • 机器人系统中的AI代理类型
  • 将AI与机器人集成时面临的挑战

Machine Learning和Robotics的AI

  • 针对机器人控制的强化学习
  • 机器人决策中的监督学习和无监督学习
  • 机器人中的迁移学习和领域适应

AI驱动的感知和传感

  • 机器人感知的计算机视觉
  • 传感器融合和数据处理
  • 增强的对象检测和识别

自主导航和路径规划

  • 基于AI的障碍物 avoidance
  • 深度学习的路径规划
  • 在Gazebo中模拟自主导航

人类与AI在Robotics中的Collaboration互动

  • 了解人类与机器人之间的互动
  • 开发辅助和协作机器人系统
  • 伦理和安全考虑

工业和服务Robotics与AI

  • 制造和物流中的AI应用
  • AI驱动的机器人过程自动化(RPA)
  • AI和机器人集成的未来趋势

部署AI驱动的Robotics系统

  • 针对现实世界机器人优化AI模型
  • 在生产中部署AI驱动的机器人解决方案
  • 评估系统性能和适应性

总结和结论

Sites Published:

United Arab Emirates - AI Agents for Robotics and Human-AI Collaboration

Qatar - AI Agents for Robotics and Human-AI Collaboration

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