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.

 

Lecture Plan. 

WeekDatelecture notesLecturerLecture topic    
10 Revision lectureSteve Tonneau 
9 

Monday lecture

Reinforcement learning

Steve TonneauIntro to reinforcement learning. 
Policy and value function
Definitions
Q table
REINFORCE algorithm
 8 Monday lecture
Trajectory optimisation 1
Trajectory optimisation 2
Steve Tonneau 
6 7 Monday lecture
Dynamics 3
Dynamics 4
Subramanian Ramamoorthy Rigig body dynamics
Task Space Inverse Dynamics (TSID)
5 6 

Monday lecture

Dynamics 1
Dynamics 2

Subramanian Ramamoorthy  
4 

Monday Lecture

Motion planning 1
Motion planning 2

Steve Tonneau

Potential fields

Sampling-based planning

330/09/2024

Monday Lecture

Forward and inverse 
kinematics

Steve Tonneau 
223/09/2024

Tuesday lecture:

so(3)

written notes

 

Monday lecture:

forward geometry

Steve Tonneau

Tuesday lecture:

Building a map for 3D rotations

note: in the written notes the very
last line is not captured, it describes
the conjugate of a quaternion (link).

 

Monday lecture:

Rotations, placements, joint maps
and forward geometry

115/09/2025

Tuesday lecture:

Monday lecture:

Intro slides

Hands-on slides

Least square optimisation
Link to lecture code

Sethu Vijayakumar /  
Steve Tonneau

Tuesday lecture:
Overview of the robotics field

 

Monday lecture:

Course introduction
Hands on overview

Introduction to unconstrained 
optimisation

 

 

 

License
All rights reserved The University of Edinburgh