In this course, you'll explore how robots use noise sensor data to estimate their state and understand the environment. It will also teach you how to incorporate uncertainty into dynamic estimation and delve into probabilistic generative models, Bayesian filtering, localization, and mapping. This is part 5 of 6 in the Robotics specialization.
🆓 Free to Audit
🕒 Approx. 15 hours
🧾 Paid Certificate Available Upon Completion
🎓 Offered by The University of Pennsylvania via Coursera
