Open House: AI in Robotics - Learning Algorithms, Design and Safety
The advancement of generative AI is revolutionizing robotics. Task planning, simulator design and reward design look much different today thanks to progress in large language models, diffusion models, and other generative AI tools. To continually optimize robotics safety and efficiency, engineers must have a deep understanding of the latest advancements in machine learning methods.
AI in Robotics: Learning, Algorithms, Design, and Safety is a three-day on-campus course led by MIT Assistant Professors Pulkit Agrawal and ChuChu Fan. Participants will acquire hands-on experience applying generative AI, large language models, simulators for training control policies, and more to better optimize their robotics efforts to solve their organization’s objectives.
At this virtual open house, you will:
- Meet Pulkit Agrawal, assistant professor of electrical engineering and computer science at MIT as well as ChuChu Fan, Assistant Professor in the Department of Aeronautics and Astronautics and Laboratory for Information and Decision Systems at MIT
- Explore the learning outcomes, such as how to apply LLMs and generative AI to robotics, optimizing the robot design process, multi-agent control, and more
- Envision how this course, tours of MIT labs, and the accomplished peers you network with during the week can bolster your understanding of robotics and solve your unique work challenges
- Ask your questions during a live Q&A session