ARO: Lectures
Important: The current slides are last years!
The slide deck will be updated as we progress through the semester.
Note that the content and topics will change slightly this year.
Last year's recordings:
Can be accessed here:
https://media.ed.ac.uk/channel/Advanced%2BRobotics/358257432
Lecture Plan.
| Week | Date | lecture notes | Lecturer | Lecture topic |
|---|---|---|---|---|
| 10 | Revision lecture | Steve Tonneau | ||
| 8 | Monday lecture | Steve Tonneau | Intro to reinforcement learning. Policy and value function Definitions Q table REINFORCE algorithm | |
| 7 | Monday lecture Trajectory optimisation 1 Trajectory optimisation 2 | Steve Tonneau | ||
| 6 | 20/10/2025 | Monday lecture Dynamics 3 Dynamics 4 | Sethu Vijayakumar | Rigig body dynamics Task Space Inverse Dynamics (TSID) |
| 5 | 13/10/2025 | Monday lecture | Sethu Vijayakumar | |
| 4 | 06/10/2025 | Monday Lecture | Steve Tonneau | Potential fields Sampling-based planning |
| 3 | 29/09/2025 | Monday Lecture | Steve Tonneau | |
| 2 | 22/09/2025 | Tuesday lecture:
Monday lecture: | Steve Tonneau | Tuesday lecture: Building a map for 3D rotations note: in the written notes the very
Monday lecture: Rotations, placements, joint maps |
| 1 | 15/09/2025 | Tuesday lecture: Monday lecture: | Sethu Vijayakumar / Steve Tonneau | Tuesday lecture:
Monday lecture: Course introduction Introduction to unconstrained |
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