ROS: Programming for Robotics Training Course

This instructor-led, live training in South Korea (online or onsite) is aimed at beginner-level to intermediate-level and potentially advanced-level robotics developers who wish to learn how to use ROS to program mobile robots using Python.

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

• Set up a development environment that includes ROS, Python, and a mobile robot platform.
• Create and run ROS nodes, topics, services, and actions using Python.
• Use ROS tools and utilities to monitor and debug ROS applications.
• Use ROS packages and libraries to perform common tasks for mobile robots.
• Integrate ROS with other frameworks and tools.
• Troubleshooting and debugging ROS applications.

This instructor-led, live training in South Korea (online or onsite) is aimed at beginner-level robotics engineers who wish to thoroughly understand operating and programming the ABB IRB 2600ID robot for welding tasks.

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

• Understand how robotics is applied in welding.
• Develop proficiency in programming the ABB IRB 2600ID robot for various welding tasks.
• Learn to safely and effectively operate the ABB IRB 2600ID robot.
• Understand the safety standards and procedures relevant to robotic welding operations.

This instructor-led, live training in South Korea (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 South Korea (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.

In this instructor-led, live training in South Korea (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.

This instructor-led, live training in South Korea (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.

In this instructor-led, live training, participants will learn how to build a robot using Arduino hardware and the Arduino (C/C++) language.

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

• Build and operate a robotic system that includes both software and hardware components
• Understand the key concepts used in robotic technologies
• Assemble motors, sensors and microcontrollers into a working robot
• Design the mechanical structure of a robot

Audience

• Developers
• Engineers
• Hobbyists

Format of the course

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

Note

• Hardware kits will be specified by the instructor before the training, but will roughly contain the following components:

• Arduino board
• Motor controller
• Distance sensor
• Bluetooth slave
• Prototyping board and cables
• USB cable
• Vehicle kit

• Participants will need to purchase their own hardware.
• If you wish to customize this training, please contact us to arrange.

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.

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 South Korea (online or onsite) is aimed at beginner-level to intermediate-level marine engineers and technicians, and offshore operations personnel who wish to gain proficiency in operating and maintaining ROVs for underwater tasks.

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

• Understand the history, types, and applications of ROVs.
• Identify and explain the components and systems of an ROV.
• Navigate and communicate effectively with ROVs underwater.
• Pilot ROVs with precision in various underwater scenarios.
• Perform routine maintenance and troubleshoot common issues.
• Apply safety protocols during underwater operations.

This instructor-led, live training in South Korea (online or onsite) is aimed at electrical engineers or anyone interested to learn about the fundamentals of semiconductors and use to create different innovations in various fields.

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

• Know how electronic devices like diodes and transistors work.
• Analyze the carrier statistics in semiconductors.
• Understand the carrier dynamics of semiconductors and their resulting conduction properties.

This instructor-led, live training in South Korea (online or onsite) is aimed at electrical engineers or anyone interested to have a more profound knowledge of semiconductors.

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

• Understand the concept of energy and conduction band diagrams.
• Understand the internal structure of diodes and how they work.
• Have an in-depth understanding of intrinsic and extrinsic semiconductors.

This instructor-led, live training in South Korea (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.