Course Code: aiagentsrobot
Duration: 21 hours
Prerequisites:
  • 对人工智慧和机器学习原则有深入了解
  • 有使用ROS等机器人框架的经验
  • 能熟练使用AI驱动的机器人Python或C++

观众

  • Robotics工程师
  • AI研究人员
  • 自动化专家
Overview:

AI代理正在与机器人集成,以进行现实世界的决策、自主导航和工业自动化。

这个由讲师主导的在线(或现场)实时培训课程旨在让高级机器人工程师、AI研究人员和自动化专家掌握AI驱动的自主机器人系统的开发,这些系统旨在应对复杂任务和人类-AI协作。

完成本次培训后,参加者将能够:

  • 了解AI代理在机器人决策和自动化中的作用。
  • 实施AI驱动的导航和避障。
  • 开发人类-AI协作机器人系统。
  • 在机器人中部署AI驱动的感知和控制系统。

课程形式

  • 互动讲座和讨论。
  • 大量的实验和实践。
  • 在现场实验室环境中进行实践。

课程定制选项

  • 如需请求本课程的定制培训,请与我们联系以安排。
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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