Hi ROS community,
We’ve just launched “Intermediate Generative AI for Robotics,” a course designed to help you learn advanced generative AI models in robotics.
This course offers a comprehensive study of generative AI models for robotics applications at an intermediate level. It covers advanced techniques such as imitation learning, diffusion-based models, and transformer architectures, equipping participants with practical skills to address real-world robotics challenges.
Through this course, you will learn:
- Data Generation and Collection: Techniques for creating and managing datasets to support advanced AI systems.
- Imitation Learning: How AI replicates expert behavior to solve complex tasks.
- Diffusion-Based Models: How diffusion methods enable AI to predict, generate, and adapt.
- Detection Transformers (DETR): The role of transformers in advancing object detection in computer vision.
- Vision Transformers (ViT): How transformers analyze visual data for real-time decision-making.
The course offers detailed step-by-step guides and hands-on exercises with robot simulation, enabling you to apply theory through practice.
You can find the course on The Construct Platform >> https://app.theconstruct.ai/courses/276
Feel free to ask any questions or share your thoughts about the course – we’re here to help!
