My Expertise
Stochastic Data Fusion, Gaussian estimators (KF, EKF, UF), Stochastic inverse problems, Localisation, Mapping and SLAM, Stochastic Partial Differential Equations, Dynamic Programming (applied on non linear control and motion planning), Navigation based on fusion of GPS/inertial/dead-reckoning sensors/maps, Dynamic Programming through Multi Core resources, Real-time Implementations for Perception and Data Fusion, Real-time Indoor and Outdoor 3D mapping.
Biography
Dr Jose Guivant is a Senior Lecturer with the School of Mechanical and Manufacturing Engineering. His research interests include:
- Stochastic Data Fusion
- Gaussian estimators for high dimensional estimation problems
- Localisation, Mapping and SLAM
- Stochastic Partial Differential Equations
- Dynamic Programming (applied on non linear control and motion planning)
- Navigation based on fusion of GPS/inertial/dead-reckoning sensors/maps.
- Dynamic...view more
Dr Jose Guivant is a Senior Lecturer with the School of Mechanical and Manufacturing Engineering. His research interests include:
- Stochastic Data Fusion
- Gaussian estimators for high dimensional estimation problems
- Localisation, Mapping and SLAM
- Stochastic Partial Differential Equations
- Dynamic Programming (applied on non linear control and motion planning)
- Navigation based on fusion of GPS/inertial/dead-reckoning sensors/maps.
- Dynamic Programing through Multi Core resources
- Real-time Implementations for Perception and Data Fusion.
- Real-time Indoor and Outdoor 3D mapping.
- Real-time remote Semi-Autonomous operation of Vehicles
List of publications (Google Scholar), can be seen here:http://scholar.google.com.au/citations?user=_4IB14IAAAAJ&hl=en
Public Datasets: /Datasets/List_of_Datasets_1.htm
Videos: https://www.youtube.com/user/jeg1001
Creation and teaching of the following courses (Mechatronic Engineering, core subjects for year 4th), since 2008:
* MTRN4010, "Advanced Autonomous Systems"
* MTRN4110, "Robot Design"