Autonomous Navigation & SLAM with ROS 2 Training Course

Think of a bot or chatbot as a digital assistant that streamlines user interactions across messaging platforms, enabling tasks to be completed efficiently without the need for human conversation.

During this instructor-led, live training, you will gain hands-on experience in bot development by building sample chatbots using industry-standard tools and frameworks.

Upon completing this course, you will be able to:

• Grasp the various uses and practical applications of bots.
• Comprehend the end-to-end process of developing bots.
• Explore the key tools and platforms used in bot construction.
• Develop a sample chatbot for Facebook Messenger.
• Build a sample chatbot using the Microsoft Bot Framework.

Audience

• Developers looking to create their own bots.

Course Format

• A blend of lectures, discussions, exercises, and extensive hands-on practice.

This interactive, instructor-led training in Denmark, available either online or onsite, is tailored for intermediate-level professionals looking to explore the impact of collaborative robots (cobots) and other human-centric AI frameworks within contemporary business environments.

Upon completion of this program, participants will be equipped to:

• Grasp the fundamental principles of Human-Centric Physical AI and its practical applications.
• Investigate how collaborative robots contribute to elevating workplace efficiency.
• Recognize and mitigate common challenges arising from human-machine interactions.
• Craft workflows that maximize the collaborative potential between human teams and AI-driven systems.
• Foster an organizational culture that embraces innovation and adaptability in AI-enhanced settings.

Aimed at engineers looking to understand the application of artificial intelligence in mechatronic systems, this instructor-led live training is delivered either online or onsite in Denmark.

By the end of the program, participants will be able to:

• Gain a broad perspective on artificial intelligence, machine learning, and computational intelligence.
• Comprehend the principles behind neural networks and diverse learning techniques.
• Effectively select AI approaches for practical problem-solving.
• Develop AI applications for use in mechatronic engineering.

This live, instructor-led course offered in Denmark (online or onsite) targets advanced robotics engineers and AI researchers. It focuses on utilizing Multimodal AI to fuse various sensory data streams, enabling the creation of highly autonomous and efficient robots that can see, hear, and touch.

By the conclusion of this training, participants will have the ability to:

• Integrate multimodal sensing into robotic systems.
• Design AI algorithms for effective sensor fusion and decision-making processes.
• Construct robots capable of managing complex tasks in changing environments.
• Overcome challenges associated with real-time data handling and actuation.

This instructor-led live training, offered in Denmark (online or on-site), targets intermediate-level participants looking to elevate their skills in designing, programming, and deploying intelligent robotic systems for automation and beyond.

By the conclusion of this training, participants will be equipped to:

• Grasp the foundational principles of Physical AI and its role in robotics and automation.
• Design and code intelligent robotic systems capable of operating in dynamic environments.
• Integrate AI models to facilitate autonomous decision-making in robotic systems.
• Harness simulation tools for rigorous robotic testing and performance optimization.
• Resolve key challenges related to sensor fusion, real-time processing, and energy efficiency.