Title: Adaptive Control of underwater robots with Machine Learning
Approval Date:  Jan. 21


Research objectives:

  • Adapt the parameters of a unmanned underwater vehicle (UUV) controller by means of Learning methods
  • Guarantee the controller stability

Related roadmap thrusts and axis

– Thrust 3 : 

    • Axis 3.1 Intelligent and Interactive Autonomous Agents

Project Members

Name Organisation Role
M. Thomas Chaffre ENSTA / Flinders University PhD student
Prof. Benoît Clément ENSTA Primary PhD Supervisor
Prof. Karl Sammut Flinders University Primary PhD Supervidor

Project Funding 

  • Brittany Region, Flinders

Start / Duration 

  • Oct. 19, 3 years