Edge AI for Robots: TinyML, On-Device Inference & Optimization Training Course

This instructor-led, live training in Sweden (online or onsite) targets intermediate-level participants keen on exploring 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:

• Grasp the principles of Human-Centric Physical AI and its practical applications.
• Investigate how collaborative robots enhance workplace productivity.
• Identify and resolve challenges associated with human-machine interactions.
• Develop workflows that optimize collaboration between humans and AI-driven systems.
• Foster a culture of innovation and adaptability in workplaces integrated with AI.

This practical training on Sweden addresses ROS-PLC integration and digital twins within industrial automation. Learners will gain the ability to synchronize robotic systems with PLCs, develop digital replicas for simulation, and enhance production workflows via real-time data exchange and advanced monitoring techniques.

This instructor-led, live training in Sweden (online or onsite) is designed for engineers who want to explore the application of artificial intelligence to mechatronic systems.

Upon completing this training, participants will be able to:

• Obtain an overview of artificial intelligence, machine learning, and computational intelligence.
• Comprehend the concepts of neural networks and various learning methodologies.
• Select appropriate artificial intelligence approaches for real-world problems.
• Implement AI applications within mechatronic engineering.

This instructor-led, live training in Sweden (online or onsite) is designed for advanced-level robotics engineers and AI researchers who wish to utilize Multimodal AI to integrate various sensory data, creating more autonomous and efficient robots that can see, hear, and touch.

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 live, instructor-led training on Sweden (delivered online or on-site) is designed for intermediate-level professionals seeking to elevate their expertise in creating, coding, and implementing intelligent robotic systems for automation and beyond.

By the conclusion of the program, participants will possess the ability to:

• Comprehend the foundational principles of Physical AI and their relevance in robotics and automation sectors.
• Design and program intelligent robotic systems that adapt to dynamic environments.
• Integrate AI models to facilitate autonomous decision-making in robots.
• Apply simulation tools to streamline robotic testing and optimize system performance.
• Tackle technical hurdles such as sensor fusion, real-time processing, and energy efficiency.

This advanced training on Sweden focuses on applying deep learning to robotic manipulation. Participants will learn about perception, grasp planning, and control using neural networks and ROS 2. Practical simulation exercises prepare you to effectively deploy intelligent, adaptive grasping solutions on real-world robotic arms.