Computer Vision for Robotics: Perception with OpenCV & Deep Learning Training Course

This live, instructor-led training in Brazil provides intermediate robotics engineers with practical skills in autonomous navigation and SLAM via ROS 2. Participants will learn to integrate LiDAR sensors, implement mapping algorithms, simulate scenarios in Gazebo, and deploy real-world navigation stacks on physical robots.

This live training in Brazil guides intermediate engineers through the deployment of TinyML models for robotics. You will learn how to optimize inference for speed and energy efficiency, integrate AI into control systems, and develop autonomous, low-latency robotic solutions directly on embedded hardware.

This live, instructor-led training in Brazil (offered online or onsite) is designed for intermediate-level learners interested in exploring the influence of collaborative robots (cobots) and other human-centric AI solutions in modern workspaces.

By the conclusion of this program, participants will be able to:

• Comprehend the foundational concepts of Human-Centric Physical AI and their real-world uses.
• Evaluate the role of collaborative robots in driving workplace productivity.
• Identify and resolve challenges related to human-machine interaction.
• Develop workflows that enhance cooperation between humans and AI systems.
• Cultivate a culture of innovation and adaptability in workplaces adopting AI technologies.

This hands-on HRI course in Brazil focuses on voice, gesture, and collaborative control. Discover how to build intuitive, multimodal interfaces for safe human-robot collaboration, emphasizing practical design principles, speech recognition, gesture detection, and shared autonomy to boost usability and safety.

This hands-on training in Brazil covers ROS-PLC integration and digital twins for industrial automation. Participants will learn to synchronize robotic systems with PLCs, develop digital replicas for simulation, and optimize production workflows through real-time data exchange and advanced monitoring techniques.

This instructor-led live training in Brazil (online or onsite) is designed for 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.

An advanced course in Brazil focused on the design and coordination of multi-robot systems. Participants will acquire the ability to model swarm intelligence, implement distributed decision-making, and optimize inter-agent collaboration through hands-on simulations in ROS 2 and Gazebo, targeting real-world applications.

This instructor-led, live training in Brazil (online or onsite) targets advanced robotics engineers and AI researchers aiming to leverage Multimodal AI to integrate diverse sensory data, thereby creating more autonomous and efficient robots with capabilities in vision, hearing, and touch.

Upon completion of this training, participants will be able to:

• Implement multimodal sensing within robotic systems.
• Develop AI algorithms for sensor fusion and decision-making.
• Build robots capable of executing complex tasks in dynamic environments.
• Overcome challenges related to real-time data processing and actuation.

This instructor-led live training on Brazil (available online or onsite) targets intermediate-level participants seeking to elevate their expertise in designing, programming, and deploying intelligent robotic systems for automation and broader applications.

By the end of the 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 for dynamic environments.
• Implement AI models for autonomous decision-making in robots.
• Leverage simulation tools for robotic testing and optimization.
• Address challenges such as sensor fusion, real-time processing, and energy efficiency.

This practical, instructor-led training in Brazil focuses on rapid prototyping for robotics through the use of ROS 2 and Docker. Participants gain hands-on expertise in building, testing, and deploying modular robotic systems efficiently, while developing key skills in containerization, simulation, and version control to support scalable development.

This instructor-led live training on Brazil explores reinforcement learning principles and deep RL techniques such as PPO and DDPG. Participants will implement algorithms using Python and PyTorch, integrate them with ROS 2 and OpenAI Gym, and train autonomous robots to handle complex tasks.

An advanced training in Brazil focusing on deep learning applications for robotic manipulation. Master perception, grasp planning, and control mechanisms using neural networks and ROS 2. Through hands-on simulation exercises, you will be prepared to effectively deploy intelligent, adaptable grasping solutions on real-world robotic arms.

In Brazil, this live training empowers advanced engineers with AI skills focused on robotic perception, planning, and control. Learners will leverage sensor fusion, develop motion algorithms, and deploy learning-based strategies to successfully integrate intelligent systems into smart manufacturing workflows.