Industrial Robotics Automation: ROS-PLC Integration & Digital Twins Training Course

Artificial Intelligence (AI) for Robotics integrates machine learning, control systems, and sensor fusion to create intelligent machines that can perceive, reason, and act autonomously. Utilizing modern tools such as ROS 2, TensorFlow, and OpenCV, engineers can now design robots capable of navigating, planning, and interacting with real-world environments in an intelligent manner. This instructor-led, live training (online or onsite) is designed for intermediate-level engineers who wish to develop, train, and deploy AI-driven robotic systems using current open-source technologies and frameworks for government applications. By the end of this training, participants will be able to: - Use Python and ROS 2 to build and simulate robotic behaviors. - Implement Kalman and Particle Filters for localization and tracking. - Apply computer vision techniques using OpenCV for perception and object detection. - Utilize TensorFlow for motion prediction and learning-based control. - Integrate SLAM (Simultaneous Localization and Mapping) for autonomous navigation. - Develop reinforcement learning models to enhance robotic decision-making. **Format of the Course** - Interactive lecture and discussion. - Hands-on implementation using ROS 2 and Python. - Practical exercises with simulated and real robotic environments. **Course Customization Options** To request a customized training for government, please contact us to arrange.

This instructor-led, live training for government (online or onsite) will equip participants with the knowledge and skills needed to program various types of robots for use in nuclear technology and environmental systems.

The 6-week course is held 5 days a week. Each session is 4 hours long and includes lectures, discussions, and hands-on robot development in a live lab environment. Participants will complete real-world projects relevant to their work to apply the knowledge they have acquired.

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

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

• Understand key concepts in robotic technologies.
• Manage the interaction between software and hardware in a robotic system.
• Implement the software components essential for robotics.
• Build and operate a simulated mechanical robot capable of visual perception, sensing, processing, navigation, and voice interaction with humans.
• Grasp the necessary elements of artificial intelligence (machine learning, deep learning, etc.) applicable to developing intelligent robots.
• Implement filters such as Kalman and Particle to enable a robot to track moving objects in its environment.
• Develop search algorithms and motion planning strategies.
• Apply PID controls to manage a robot's movement within an environment.
• Implement SLAM (Simultaneous Localization and Mapping) algorithms to allow a robot to map out unknown environments.
• Enhance a robot’s capabilities through the use of Deep Learning techniques.
• Test and troubleshoot robots in realistic scenarios.

This instructor-led, live training for government (online or onsite) will cover the various technologies, frameworks, and techniques required for programming robots used in nuclear technology and environmental systems.

The four-week course is held five days a week, with each session lasting four hours. It includes lectures, discussions, and hands-on robot development in a live lab environment. Participants will complete real-world projects applicable to their work to practice the knowledge they acquire.

For this course, the target hardware will be simulated in 3D using simulation software. The code developed will then be deployed onto physical hardware (such as Arduino or other platforms) for final testing. The ROS (Robot Operating System) open-source framework, along with C++ and Python, will be utilized for programming the robots.

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

• Understand the key concepts used in robotic technologies.
• Manage the interaction between software and hardware in a robotic system.
• Implement the software components that underpin robotics.
• Build and operate a simulated mechanical robot capable of seeing, sensing, processing, navigating, and interacting with humans through voice commands.
• Understand and apply the necessary elements of artificial intelligence (including machine learning and deep learning) to build smart robots.
• Implement filters such as Kalman and Particle to enable the robot to locate moving objects in its environment.
• Develop search algorithms and motion planning strategies.
• Apply PID controls to regulate a robot's movement within an environment.
• Implement SLAM (Simultaneous Localization and Mapping) algorithms to enable a robot to map out an unknown environment.
• Test and troubleshoot a robot in realistic scenarios.

ROS 2 (Robot Operating System 2) is an open-source framework designed to support the development of complex and scalable robotic applications for government and industry use.

This instructor-led, live training (online or onsite) is aimed at intermediate-level robotics engineers and developers who wish to implement autonomous navigation and SLAM (Simultaneous Localization and Mapping) using ROS 2 for government projects.

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

• Set up and configure ROS 2 for autonomous navigation applications in governmental settings.
• Implement SLAM algorithms for mapping and localization suitable for public sector environments.
• Integrate sensors such as LiDAR and cameras with ROS 2 to enhance situational awareness in government operations.
• Simulate and test autonomous navigation in Gazebo, a tool crucial for validating systems before deployment.
• Deploy navigation stacks on physical robots used in various public sector workflows.

Format of the Course

• Interactive lecture and discussion focused on government applications.
• Hands-on practice using ROS 2 tools and simulation environments relevant to public sector needs.
• Live-lab implementation and testing on virtual or physical robots tailored for government use cases.

Course Customization Options

• To request a customized training for this course, please contact us to arrange specific modules aligned with your agency's requirements.

The Azure Bot Service integrates the capabilities of the Microsoft Bot Framework and Azure Functions to facilitate the rapid development of intelligent bots for government.

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

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

• Understand the fundamentals of intelligent bots
• Learn how to develop intelligent bots using cloud applications for government
• Gain proficiency in using the Microsoft Bot Framework, the Bot Builder SDK, and the Azure Bot Service
• Comprehend the design principles of bots through bot patterns
• Create their first intelligent bot using Microsoft Azure

Audience

• Developers
• Hobbyists
• Engineers
• IT Professionals

Format of the Course

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

A chatbot or bot serves as a digital assistant designed to automate user interactions across various messaging platforms, enabling tasks to be completed more efficiently without requiring direct human-to-human communication. In this instructor-led, live training, participants will gain the skills necessary to begin developing bots by working through the creation of sample chatbots using specialized development tools and frameworks. By the end of this training, participants will be able to: - Understand the diverse applications and uses of bots - Grasp the comprehensive process involved in bot development - Examine the various tools and platforms utilized in building bots - Construct a sample chatbot for Facebook Messenger - Develop a sample chatbot using Microsoft Bot Framework **Audience** - Developers interested in creating their own bots for government or private sector use **Format of the Course** - Part lecture, part discussion, with exercises and extensive hands-on practice

This instructor-led, live training (online or onsite) is designed for government participants at the intermediate level who wish to explore the role of collaborative robots (cobots) and other human-centric AI systems in modern workplaces. By the end of this training, participants will be able to: - Understand the principles of Human-Centric Physical AI and its applications. - Explore the role of collaborative robots in enhancing workplace productivity for government operations. - Identify and address challenges in human-machine interactions within public sector environments. - Design workflows that optimize collaboration between humans and AI-driven systems for government use. - Promote a culture of innovation and adaptability in AI-integrated workplaces for government agencies.

This instructor-led, live training (online or onsite) is designed for government 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 for government applications. - Understand the concepts of neural networks and various learning methods. - Select appropriate artificial intelligence approaches effectively for real-life problems in the public sector. - Implement AI applications in mechatronic engineering projects for government.

This instructor-led, live training (available online or on-site) is designed for advanced-level robotics engineers and AI researchers who aim to utilize Multimodal AI for government applications. The goal is to integrate various sensory data to create more autonomous and efficient robots capable of seeing, hearing, and touching. By the end of this training, participants will be able to: - Implement multimodal sensing in robotic systems. - Develop AI algorithms for sensor fusion and decision-making. - Create robots that can perform complex tasks in dynamic environments. - Address challenges in real-time data processing and actuation.

This instructor-led, live training (online or onsite) is aimed at intermediate-level automation engineers and control system designers who wish to implement motion control solutions using Omron PLCs for government applications.

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

• Understand fundamental motion control concepts and their practical applications.
• Configure motion hardware and software in Sysmac Studio.
• Program and optimize single-axis and multi-axis motion control systems.
• Implement coordinated motion strategies, including interpolation and synchronization techniques.

This instructor-led, live training in [location] (online or onsite) is designed for intermediate-level programmers who seek to enhance their skills in Omron PLC programming, HMI configuration, motion control, and safety systems. By the end of this training, participants will be able to: - Configure and program Omron PLCs using Sysmac Studio. - Understand and apply IEC standards in ladder logic and structured text programming. - Develop programs for single-axis and coordinated motion control. - Create HMI interfaces with the NA series and integrate them with Sysmac controllers. - Implement and simulate safety standards and programs using NX series safety hardware. This training is tailored to support professionals in enhancing their technical capabilities, ensuring alignment with best practices for government applications.

This course introduces participants to the foundational principles of Programmable Logic Controllers (PLC). Following an overview of the fundamental concepts of PLCs, students will learn and practice basic Ladder Diagram instructions, applying them to tasks relevant to industrial automation. This training is designed for:

• Electrical Specialists
• Mechanical Engineers
• Programmers with an interest in Industrial Automation

The course aims to enhance technical skills and align with the needs of industrial automation for government and private sector applications.

This instructor-led, live training (offered online or onsite) is designed for intermediate-level participants who seek to enhance their capabilities in designing, programming, and deploying intelligent robotic systems for government and other sectors. By the end of this training, participants will be able to: - Understand the principles of Physical AI and its applications in robotics and automation. - Design and program intelligent robotic systems suitable for dynamic environments. - Implement AI models to enable autonomous decision-making in robots. - Utilize simulation tools for testing and optimizing robotic performance. - Address challenges such as sensor fusion, real-time processing, and energy efficiency.

A Smart Robot is an Artificial Intelligence (AI) system capable of learning from its environment and experiences, enhancing its capabilities through accumulated knowledge. These robots can collaborate with humans, working alongside them and adapting to human behaviors. They are adept at both manual tasks and cognitive functions. In addition to physical robots, Smart Robots can also exist as software applications, operating within a computer without any physical interaction. This instructor-led training provides participants with an in-depth understanding of the technologies, frameworks, and techniques required for programming mechanical Smart Robots. Participants will apply this knowledge to complete their own Smart Robot projects. The course is structured into four sections, each comprising three days of lectures, discussions, and hands-on robot development in a live laboratory environment. Each section concludes with a practical project to reinforce the skills learned. The target hardware for this training will be simulated in 3D using simulation software. The ROS (Robot Operating System) open-source framework, along with C++ and Python, will be used for programming the robots. By the end of this training, participants will be able to: - Understand the fundamental concepts in robotic technologies. - Manage the interaction between software and hardware in a robotic system. - Implement the software components essential for Smart Robots. - Build and operate a simulated mechanical Smart Robot capable of seeing, sensing, processing, grasping, navigating, and interacting with humans through voice commands. - Enhance a Smart Robot's capabilities to perform complex tasks using Deep Learning techniques. - Test and troubleshoot a Smart Robot in realistic scenarios. **Audience** - Developers - Engineers **Format of the Course** - Part lecture, part discussion, exercises, and extensive hands-on practice **Note** To tailor any aspect of this course (such as programming language or robot model) to specific needs for government projects, please contact us to arrange customization.

Smart Robotics involves the integration of artificial intelligence into robotic systems to enhance perception, decision-making, and autonomous control. This instructor-led, live training (available online or on-site) is designed for advanced-level robotics engineers, systems integrators, and automation leads who aim to implement AI-driven perception, planning, and control in smart manufacturing environments for government and industry applications. By the end of this training, participants will be able to: - Understand and apply AI techniques for robotic perception and sensor fusion. - Develop motion planning algorithms for collaborative and industrial robots. - Deploy learning-based control strategies for real-time decision-making. - Integrate intelligent robotic systems into smart factory workflows. **Format of the Course** - Interactive lecture and discussion - Extensive exercises and practice sessions - Hands-on implementation in a live-lab environment **Course Customization Options** - To request a customized training for this course, please contact us to arrange.