机器人学（Robotics）培训课程 | Robotics培训课程

This course introduces machine learning methods in robotics applications.

It is a broad overview of existing methods, motivations and main ideas in the context of pattern recognition.

After a short theoretical background, participants will perform simple exercise using open source (usually R) or any other popular software.

在这一由讲师引导的实时培训中，学员将学习如何使用Arduino硬件和Arduino（C/C++）语言创建机器人。

在本次培训结束后，学员将能够：

- 构建并运行一个包含软件和硬件组件的机器人系统
- 了解机器人技术中使用的关键概念
- 将电机、传感器、微控制器组装到工作机器人中
- 设计机器人的机械结构

受众

- 开发人员
- 工程师
- 机器人爱好者

课程形式

- 部分讲座、部分讨论、练习和大量实操

提示

- 在培训之前，讲师将指定硬件套件，大致包含以下组件：

- Arduino板
- 电机控制器
- 距离传感器
- 蓝牙从属装置（Bluetooth Slave）
- 原型板和电缆
- USB电缆
- 车载套件

- 学员需要购买自己的硬件。
- 若需定制本培训课程，请联系我们以作安排。

This classroom based training session will explore NLP techniques in conjunction with the application of AI and Robotics in business. Delegates will undertake computer based examples and case study solving exercises using Python

This classroom based training session will explore Robotics and Robotic Process Automation (RPA). Delegates will undertake computer based examples and case study solving exercises.

ROS-Industrial (ROS-I) is an open-source project that builds on ROS. It extends the capabilities of ROS to manufacturing automation and robotics.

In this instructor-led, live training, participants will learn how to start developing with ROS-Industrial.

By the end of this training, participants will be able to:

- Install and configure ROS-Industrial
- Implement motion and path planning on ROS-I using tools such as MoveIt! and Descartes
- Create simple ROS-I applications
- Build, test, deploy, and troubleshoot a new robot with ROS-I

Audience

- Programmers
- Developers
- Engineers

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice

Note

- To request a customized training for this course, please contact us to arrange.

This instructor-led, live training in 中国 (online or onsite) is aimed at technical persons who wish to set up or extend an RPA system with more intelligent capabilities.

By the end of this training, participants will be able to:

- Install and configure UiPath IPA.
- Enable robots to manage other robots.
- Apply computer vision to locate screen objects with accuracy.
- Enable robots that can detect language patterns and carry out sentiment analysis on unstructured content.

This instructor-led, live training in 中国 (online or onsite) is aimed at engineers who wish to program and create robots through basic AI methods.

By the end of this training, participants will be able to:

- Implement filters (Kalman and particle) to enable the robot to locate moving objects in its environment.
- Implement search algorithms and motion planning.
- Implement PID controls to regulate a robot's movement within an environment.
- Implement SLAM algorithms to enable a robot to map out an unknown environment.

In this instructor-led, live training in 中国 (online or onsite), participants will learn the different technologies, frameworks and techniques for programming different types of robots to be used in the field of nuclear technology and environmental systems.

The 4-week course is held 5 days a week. Each day is 4-hours long and consists of lectures, discussions, and hands-on robot development in a live lab environment. Participants will complete various real-world projects applicable to their work in order to practice their acquired knowledge.

The target hardware for this course will be simulated in 3D through simulation software. The code will then be loaded onto physical hardware (Arduino or other) for final deployment testing. The ROS (Robot Operating System) open-source framework, C++ and Python will be used for programming the robots.

By the end of this training, participants will be able to:

- Understand the key concepts used in robotic technologies.
- Understand and manage the interaction between software and hardware in a robotic system.
- Understand and implement the software components that underpin robotics.
- Build and operate a simulated mechanical robot that can see, sense, process, navigate, and interact with humans through voice.
- Understand the necessary elements of artificial intelligence (machine learning, deep learning, etc.) applicable to building a smart robot.
- Implement filters (Kalman and Particle) to enable the robot to locate moving objects in its environment.
- Implement search algorithms and motion planning.
- Implement PID controls to regulate a robot's movement within an environment.
- Implement SLAM algorithms to enable a robot to map out an unknown environment.
- Test and troubleshoot a robot in realistic scenarios.

In this instructor-led, live training in 中国 (online or onsite), participants will learn the different technologies, frameworks and techniques for programming different types of robots to be used in the field of nuclear technology and environmental systems.

The 6-week course is held 5 days a week. Each day is 4-hours long and consists of lectures, discussions, and hands-on robot development in a live lab environment. Participants will complete various real-world projects applicable to their work in order to practice their acquired knowledge.

The target hardware for this course will be simulated in 3D through simulation software. The ROS (Robot Operating System) open-source framework, C++ and Python will be used for programming the robots.

By the end of this training, participants will be able to:

- Understand the key concepts used in robotic technologies.
- Understand and manage the interaction between software and hardware in a robotic system.
- Understand and implement the software components that underpin robotics.
- Build and operate a simulated mechanical robot that can see, sense, process, navigate, and interact with humans through voice.
- Understand the necessary elements of artificial intelligence (machine learning, deep learning, etc.) applicable to building a smart robot.
- Implement filters (Kalman and Particle) to enable the robot to locate moving objects in its environment.
- Implement search algorithms and motion planning.
- Implement PID controls to regulate a robot's movement within an environment.
- Implement SLAM algorithms to enable a robot to map out an unknown environment.
- Extend a robot's ability to perform complex tasks through Deep Learning.
- Test and troubleshoot a robot in realistic scenarios.

This instructor-led, live training in 中国 (online or onsite) is aimed at developers who wish to install, configure, and manage AWS RoboMaker capabilities to create, simulate, and deploy applications for robots and autonomous vehicles and devices.

By the end of this training, participants will be able to use AWS RoboMaker to build, simulate, deploy, manage, test, and monitor robot applications.

A Smart Robot is an Artificial Intelligence (AI) system that can learn from its environment and its experience and build on its capabilities based on that knowledge. Smart Robots can collaborate with humans, working along-side them and learning from their behavior. Furthermore, they have the capacity for not only manual labor, but cognitive tasks as well. In addition to physical robots, Smart Robots can also be purely software based, residing in a computer as a software application with no moving parts or physical interaction with the world.

In this instructor-led, live training, participants will learn the different technologies, frameworks and techniques for programming different types of mechanical Smart Robots, then apply this knowledge to complete their own Smart Robot projects.

The course is divided into 4 sections, each consisting of three days of lectures, discussions, and hands-on robot development in a live lab environment. Each section will conclude with a practical hands-on project to allow participants to practice and demonstrate their acquired knowledge.

The target hardware for this course will be simulated in 3D through simulation software. The ROS (Robot Operating System) open-source framework, C++ and Python will be used for programming the robots.

By the end of this training, participants will be able to:

- Understand the key concepts used in robotic technologies
- Understand and manage the interaction between software and hardware in a robotic system
- Understand and implement the software components that underpin Smart Robots
- Build and operate a simulated mechanical Smart Robot that can see, sense, process, grasp, navigate, and interact with humans through voice
- Extend a Smart Robot's ability to perform complex tasks through Deep Learning
- Test and troubleshoot a Smart Robot in realistic scenarios

Audience

- Developers
- Engineers

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice

Note

- To customize any part of this course (programming language, robot model, etc.) please contact us to arrange.

The Azure Bot Service combines the power of the Microsoft Bot Framework and Azure functions to enable rapid development of intelligent bots.

In this instructor-led, live training, participants will learn how to easily create an intelligent bot using Microsoft Azure

By the end of this training, participants will be able to:

- Learn the fundamentals of intelligent bots
- Learn how to create intelligent bots using cloud applications
- Understand how to use the Microsoft Bot Framework, the Bot Builder SDK, and the Azure Bot Service
- Understand how to design bots using bot patterns
- Develop their first intelligent bot using Microsoft Azure

Audience

- Developers
- Hobbyists
- Engineers
- IT Professionals

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice

A bot or chatbot is like a computer assistant that is used to automate user interactions on various messaging platforms and get things done faster without the need for users to speak to another human.

In this instructor-led, live training, participants will learn how to get started in developing a bot as they step through the creation of sample chatbots using bot development tools and frameworks.

By the end of this training, participants will be able to:

- Understand the different uses and applications of bots
- Understand the complete process in developing bots
- Explore the different tools and platforms used in building bots
- Build a sample chatbot for Facebook Messenger
- Build a sample chatbot using Microsoft Bot Framework

Audience

- Developers interested in creating their own bot

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice

This instructor-led, live training in 中国 (online or onsite) is aimed at engineers who wish to learn about the applicability of artificial intelligence to mechatronic systems.

By the end of this training, participants will be able to:

- Gain an overview of artificial intelligence, machine learning, and computational intelligence.
- Understand the concepts of neural networks and different learning methods.
- Choose artificial intelligence approaches effectively for real-life problems.
- Implement AI applications in mechatronic engineering.

ROS是机器人操作系统（Robot Operating System）。它是一个开源框架，用于帮助开发先进的机器人。

在这一由讲师引导的实时培训中，学员将学习如何通过使用机器人可视化和模拟工具开始将ROS用于他们的机器人项目。

在本次培训结束后，学员将能够：

- 了解ROS的基础知识
- 学习如何使用ROS创建一个基本的机器人项目
- 了解如何使用不同的机器人工具，包括模拟和可视化工具

受众

- 机器人爱好者
- 机器人发烧友
- 工程师和技术人员

课程形式

- 部分讲座、部分讨论、练习和大量实操

This instructor-led, live training in 中国 (online or onsite) is aimed at developers and technical persons who wish to design and develop an unmanned drone.

By the end of this training, participants will be able to:

- Setup a suitable development environment.
- Select and apply the right tools for programming a drone.
- Understand and configure the firmware, middleware and API stack.
- Test and debug their code using drone simulation software.

This instructor-led, live training in 中国 (online or onsite) is aimed at engineers and developers who wish to design, develop, and test aerial vehicles through exploring various aerial robotics concepts and tools.

By the end of this training, participants will be able to:

- Understand the basics of aerial robotics.
- Model and design UAVs and quadrotors.
- Learn about the basics of flight control and motion planning.
- Learn how to use different simulation tools for aerial robotics.

This instructor-led, live training in 中国 (online or onsite) is aimed at anyone who wishes to understand the basics of UAS and apply drone technology in planning, operations, management, and analysis for various industries.

By the end of this training, participants will be able to:

- Gain fundamental knowledge of UAVs and drones.
- Learn about drone classifications and uses to find suitable UAVs that address different needs.
- Evaluate delivery options and regulations for the convenient operation of drones.
- Understand the risks and ethics of using drone technology.
- Explore future uses and capabilities of UAVs including integration with other technologies.

This instructor-led, live training in 中国 (online or onsite) is aimed at agriculture technicians, researchers, and engineers who wish to apply aerial robotics in optimizing data collection and analysis for agriculture.

By the end of this training, participants will be able to:

- Understand drone technology and regulations related to it.
- Deploy drones to acquire, process, and analyze crop data to improve farming and agricultural methods.