Learn to build AI-powered robots using computer vision, NLP, and deep learning techniques.
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.
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.
This class meets simultaneously in a classroom and remotely via Zoom. Students are expected to attend and participate in the course, either in-person or remotely, during the days and times that are specified on the course schedule. Students attending remotely are also strongly encouraged to have their cameras on to get the most out of the remote learning experience. Students attending the class in-person are expected to bring a laptop to each class meeting.
No meetings on November 29th. To see all meeting dates, click “Full Schedule” below.
Electronic Course Materials: You will be granted access in Canvas to your course site and course materials approximately 24 hours prior to the published start date of the course.
