AI for Robotics Training in Bangkok

This practical, instructor-led training in Bangkok focuses on rapid prototyping in robotics utilizing ROS 2 and Docker. Participants acquire hands-on expertise in building, testing, and deploying modular robotic systems, while developing essential skills in containerization, simulation, and version control to support scalable development.

This practical HRI course in Bangkok explores voice, gesture, and collaborative control mechanisms. Participants will learn to create intuitive, multimodal interfaces that facilitate safe human-robot collaboration. The curriculum emphasizes applied design principles, speech recognition, gesture detection, and shared autonomy to improve both usability and safety standards.

This hands-on training in Bangkok covers ROS-PLC integration and digital twins for industrial automation. 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 advanced training on Bangkok focuses on applying deep learning to robotic manipulation. Participants will learn perception, grasp planning, and control mechanisms using neural networks and ROS 2. Practical simulation exercises prepare learners to effectively deploy intelligent and adaptable grasping solutions on real robotic arms.

An advanced training in Bangkok covering the design and coordination of multi-robot systems. Participants will learn to model swarm intelligence, implement distributed decision-making, and optimize collaboration across agents using hands-on simulation in ROS 2 and Gazebo for real-world applications.

This instructor-led, live training in Bangkok guides advanced professionals through the integration of TinyML into autonomous robotics. Participants will master the design of optimized models, the implementation of on-device perception pipelines, and the deployment of lightweight AI on embedded hardware to achieve real-time autonomy.

This 21-hour instructor-led training in Bangkok focuses on safety cases, verification, and explainable AI within robotics. Participants will learn to apply hazard analysis, ethical governance, and compliance standards to ensure transparent and trustworthy robotic decision-making in real-world scenarios.

This live training in Bangkok assists intermediate engineers in deploying TinyML models for robotics. Participants will learn 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 Bangkok (delivered online or on-site) targets intermediate-level participants interested in understanding the contribution of collaborative robots (cobots) and other human-centric AI systems to modern workplace operations.

Upon completion, participants will be equipped to:

• Grasp the foundational principles of Human-Centric Physical AI and its real-world applications.
• Examine how collaborative robots contribute to boosting workplace efficiency.
• Recognize and mitigate complexities inherent in human-machine interactions.
• Structure workflows that foster seamless synergy between human teams and AI-driven systems.
• Cultivate an organizational culture that champions innovation and adaptability in AI-enabled environments.

This instructor-led live training in Bangkok covers reinforcement learning principles and deep RL techniques like PPO and DDPG. Participants will implement algorithms using Python and PyTorch, integrate them with ROS 2 and OpenAI Gym, and train autonomous robots to solve complex tasks.

This instructor-led training in Bangkok focuses on computer vision for robotics, utilizing OpenCV and deep learning. Participants will learn to implement perception pipelines, integrate detection models, and deploy systems on embedded platforms for autonomous control.

This instructor-led live training in Bangkok (delivered online or onsite) is tailored for advanced robotics engineers and AI researchers. It focuses on applying Multimodal AI to synthesize various sensory data streams, enabling the creation of more autonomous and efficient robots with multimodal perception capabilities.

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

• Integrate multimodal sensing into robotic architectures.
• Design AI algorithms for sensor fusion and strategic decision-making.
• Develop robots that can handle complex tasks in fluctuating environments.
• Overcome challenges associated with real-time data processing and actuation.

In Bangkok, this live professional development session provides advanced engineers with essential AI competencies for robotic perception, planning, and control. Learners will apply sensor fusion techniques, create motion algorithms, and implement learning-based strategies to seamlessly integrate intelligent systems into smart manufacturing operations.

Designed for intermediate robotics engineers, this live, instructor-led training in Bangkok provides practical proficiency in autonomous navigation and SLAM via ROS 2. Participants will learn to integrate LiDAR sensors, develop mapping algorithms, run simulations in Gazebo, and deploy robust navigation stacks on physical robots.

This live, instructor-led training in Bangkok, offered either online or onsite, is designed for intermediate-level participants looking to advance their skills in creating, coding, and deploying intelligent robotic systems for automation and complex scenarios.

By the end of the session, attendees will be able to:

• Comprehend the principles of Physical AI and its role in robotics and automation.
• Design and code intelligent robotic systems suited for dynamic settings.
• Implement AI models to facilitate autonomous decision-making in robots.
• Apply simulation tools for rigorous robotic testing and optimization.
• Navigate challenges involving sensor fusion, real-time data processing, and energy efficiency.

This instructor-led live training, conducted in Bangkok (either online or on-site), is tailored for engineers eager to investigate the application of artificial intelligence within mechatronic systems.

By the conclusion of the program, participants will be capable of:

• Gaining a broad perspective on artificial intelligence, machine learning, and computational intelligence.
• Comprehending neural network concepts and diverse learning techniques.
• Effectively selecting AI methodologies to solve practical problems.
• Applying AI technologies in mechatronic engineering projects.