Intelligent Autonomous Robotics

Lectures

Lectures will be held 9:00-9:50 in AT2.11
N.B. Prior to lecture delivery, the links may point to the slides and handouts from a previous year. These may be updated as the course progresses; please ensure you have the most recent versions for your revision purposes. Note also that the timetable of topics here may be subject to revision.

Date:
Lecture content:
September 18
(Barbara Webb)
Introduction
slides
September 21
(Barbara Webb)
Reactive Control
slides
September 25
(Barbara Webb)
Sensing for action
slides
September 28
(Barbara Webb)
Exploiting physics
slides
October 2
(Barbara Webb)
Behaviour Based Control
slides
October 5
(Barbara Webb)
Hybrid Systems
slides
October 9
(Barbara Webb)
Probabilistic Approaches
slides
solution to example problem
October 12
(Barbara Webb)
Maps and Planning
slides
October 16

Discussion of the book "Vehicles" by Valentino Braitenberg
N.B. All students will be expected to have read this (very short) book before this session.
October 19
Bob Fisher
Guest lecture: Prof. Bob Fisher will give some highlights from the progress of the EC funded TrimBot2020 hedge-trimming project, including a video of first autonomous navigation in one of the test gardens, and first hedge-trimming.
October 23

No lecture
October 26
(Barbara Webb)
Filters
slides
Derivation of the Kalman filter
Kalman and Bayesian Filters in Python
October 30
(Barbara Webb)
Simultaneous Localisation and Mapping
slides
Additional slides for SLAM equations
Introductory article on SLAM
November 2
(Barbara Webb)
SLAM in practice
slides
Introductory article on SLAM part II
November 6
(Barbara Webb)
Collective Robotics
slides
November 9
(Barbara Webb)
Evolutionary robotics
slides
November 13
James Garforth
Guest lecture: what are the current most successful (visual) SLAM algorithms?
November 16
(Barbara Webb)
Robots as dynamical systems
slides
November 20
(Barbara Webb)
Case Study & Revision
slides


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