Learn to build AI-powered robots using computer vision, NLP, and deep learning techniques.
Course Description
The AI robotics industry is rapidly growing, driving demand for professionals who can implement intelligent robotic systems in real-world settings. In this AI for Robotics course, you'll explore how AI enables robots to perform complex tasks across diverse applications - from logistics and manufacturing to healthcare and autonomous navigation. We'll dive into advanced AI techniques for perception, manipulation, reasoning, and learning, and examine how these capabilities are integrated into robotic systems. You'll gain hands-on experience training deep learning models for tasks such as object detection, classification, and segmentation. The course also covers the AI software development life cycle, including data preparation, model training, and validation, with a focus on the unique challenges of deploying AI in robotics.
Topics
- Industry use cases and case studies in AI for robotics
- Robotics architecture
- Data acquisition and sensor fusion
- SLAM (simultaneous localization and mapping)
- Computer vision
- Object detection and segmentation
- Autonomous mobile robots
- Natural language processing
- Foundation models for robotics
- Vision-language-action models
- Demonstrations and project presentations
- Deep learning applications
Prerequisites / Skills Needed
Students should be proficient in programming languages, such as C++ or Python. Knowledge of AI/ML solutions and related frameworks is suggested as well as familiarity with algebra and higher-level mathematics.
