Autonomous Systems
 

Education

 


Courses
KC-1 Estimation and the Kalman Filter
A course focussing on linear and nonlinear Kalman filters and their use in sensor-based estimation problems.
KC-3 Multisensor Data Fusion
Multiple-sensor estimation methods including the multi-sensor Kalman filter, the information filter and multi-sensor discrete and continuous Bayesian estimators.
KC-4 Navigation Systems Design
A course on navigation system design, including algorithm development and the applicability and combination of different types of sensors.
KC-2 Sensors
This course covers a broad range of sensor technologies and operational principles.
KC-7 Decentralised Data Fusion
Practical knowledge and skills for engineers and scientists wishing to employ and develop DDF systems
SLAM Summer School
Contributions by Centre personnel to the SLAM Summer School series.
KC-3S Introduction to Data Fusion
This is a one-day course on data fusion given at ICARCV, December 2002 in Singapore.
KC-127 Introduction to Estimation and Data Fusion
This is a three day course on estimation and data fusion given at new postgraduate students at the Centre. It is an amalgamation of various parts of the basic courses in estimation (KC1), data fusion (KC2) and decentralised data fusion (KC7).
CAST 1234 Test Course Title
This is a short description
Experimental Robotics
This Unit of Study presents a broad overview of the technologies associated with industrial and mobile robots.

The Centre engages in teaching and training for undergraduate and postgraduate students, and for industry in the general area of autonomous systems. A large number of outreach activities are also extended to government, industry and schools. Further enquires to our Short Courses Officer.  

 

 

Courses offered at CAS