This course teaches how to get robots to incorporate uncertainty into estimating and learning from a dynamic and changing world. Specific topics that will be covered include probabilistic generative models, Bayesian filtering for localization and mapping, and machine learning for planning and decision making.
| Instructor: | Professor Dan Lee |
| Provided by: | Coursera |
| Course language: | English |
| Fees: | free course |
| Level: | intermediate |
| Certificate available? | (fee) |
| Format: | MOOC/online course |
How do you like the course 'Robotics: Estimation and Learning'?
