Lectures:

1. 30-Jul:  Introduction
2. 6-Aug:   Representing Position & Orientation & State
   (Frames, Transformation Matrices & Affine Transformations)
3. 13-Aug:   Robot Kinematics
4. 20-Aug: Robot Dynamics & Control
5. 27-Aug: Robot Trajectories & Motion
   • Inverse Kinematics Notes from Tsai, Chapter 2, § 2.3
6. 3-Sept: Robot Sensing: Perception & Multiple View Geometry
7. 10-Sept: Robot Sensing: Features & Detection using Computer Vision
8. 17-Sep:
   Lecture Part I: SIFT (+ Patrick Mahoney)
   Lecture Part II: Navigation (+ Prof. M. Srinivasan)
   • Part I: Vision and navigation in bees and birds
   • Part II: Vision and navigation in bees and birds: applications to robotics
9. 24-Sept: Localization & Motion Planning + Control
10. 8-Oct: State-Space Modelling
    • Friedland, Control Systems Design, Chapters 1 and 2
11. 15-Oct: MISC Catch-up: State-Space Modelling, MPC, and More!
    • Slides from Guest Presentation on the MS ImagineCup by Lawrence Crumpton [+ Movie]
12. 22-Oct:
    Part I: Position & Motion in 2D and 3D  
    ⇒  Robotic Vision MOOC Trial ⇐
    Part II: Shaping the Dynamic Response
    • Friendland, Control Systems Design, Chapter 6
13. 29-Oct:  Linear Observers & LQR & Course Overview
    • LQR Design Notes from João Hespanha, Linear Systems Theory, 2009 (Part IV, Ch. 20-23)
    •  Linear Alegbra Review (Please see Appendix A of Computer Vision: Algorithms and Applications by Richard Szeliski)

Please refer comments & questions to: metr4202@itee.uq.edu.au

© 2012-2014, Robotics Design Lab at The University of Queensland
This work is licensed under a Creative Commons License (BY-NC-SA)