Autonomous Systems
 

Research

 


Planning

Planning is control at the level of sequences of operations defining a complete task; this is sometimes called "high-level" control and even "intelligent" control. The partners have a range of expertise in advanced planning methods, from the world-champion RoboCup team, to the scheduling and operation of robots in applications such as mining or cargo handling. The challenge in planning is to evolve truly intelligent behaviour from lower-level control functions. Research in planning will focus on:

  1. The development of algorithmic models for planning under uncertainty, especially methods based on hybrid systems and modal logic;
  2. The development of methods for learning or adapting behaviour through interaction with the environment; and
  3. The development of cognitive languages for high-level agent control and for human-machine interaction.

Research in planning aims to develop robust and adaptive high-level control methods, and will be led by Quang Ha.