Autonomous Navigation & SLAM with ROS 2 Training Course

This instructor-led session in Malaysia explores the application of computer vision in robotics through OpenCV and deep learning. Learners will develop the skills to build perception pipelines, integrate detection models, and deploy systems on embedded platforms to achieve autonomous control.

Conducted in Malaysia, this live training empowers intermediate engineers to deploy TinyML models effectively for robotics. Learn to optimize inference for enhanced speed and energy efficiency, integrate AI into control systems, and develop autonomous, low-latency robotic solutions directly on embedded hardware.

This instructor-led, live training in Malaysia (online or onsite) is aimed at intermediate-level participants 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.
• Identify and address challenges in human-machine interactions.
• Design workflows that optimize collaboration between humans and AI-driven systems.
• Promote a culture of innovation and adaptability in AI-integrated workplaces.

This practical HRI course in Malaysia focuses on voice, gesture, and collaborative control. Participants will learn to create intuitive, multimodal interfaces for secure human-robot collaboration, with an emphasis on practical design principles, speech recognition, gesture detection, and shared autonomy to enhance both usability and safety.

This practical training on Malaysia addresses ROS-PLC integration and digital twins within industrial automation. Participants will learn to align robotic systems with PLCs, create digital replicas for simulation, and refine production workflows through real-time data exchange and sophisticated monitoring methods.

This instructor-led live training in Malaysia (available online or onsite) is aimed at engineers who wish to understand 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 on Malaysia that covers the design and coordination of multi-robot systems. Participants will learn to model swarm intelligence, implement distributed decision-making, and optimize agent collaboration through hands-on simulations in ROS 2 and Gazebo, targeting real-world applications.

This instructor-led, live training in Malaysia (online or onsite) is aimed at advanced-level robotics engineers and AI researchers who wish to utilize Multimodal AI for integrating various sensory data to create 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 in Malaysia, delivered either online or onsite, targets intermediate-level professionals looking to sharpen their skills in designing, programming, and deploying intelligent robotic systems for automation and beyond.

By the end of the session, participants will be capable of:

• Comprehending the core principles of Physical AI and its relevance to robotics and automation.
• Designing and programming intelligent robotic systems for complex, dynamic settings.
• Implementing AI models that facilitate autonomous decision-making in robots.
• Applying simulation tools to test and optimize robotic performance.
• Managing key challenges such as sensor fusion, real-time processing, and energy consumption.

This practical, instructor-led training in Malaysia focuses on rapid prototyping for robotics utilizing ROS 2 and Docker. Participants will gain hands-on expertise in building, testing, and deploying modular robotic systems efficiently, mastering key skills in containerization, simulation, and version control to support scalable development.

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

An advanced program in Malaysia focusing on deep learning for robotic manipulation. Master perception, grasp planning, and control using neural networks and ROS 2. Practical simulation exercises prepare you to effectively deploy intelligent and adaptable grasping solutions on physical robotic arms.