Where to Look Next: Learning Viewpoint Recommendations for Informative Trajectory Planning
Max Lodel,Bruno Brito,Álvaro Serra-Gómez,Laura Ferranti,Robert Babuška,Javier Alonso-Mora,Max Lodel,Bruno Brito,Álvaro Serra-Gómez,Laura Ferranti,Robert Babuška,Javier Alonso-Mora
Search missions require motion planning and navigation methods for information gathering that continuously replan based on new observations of the robot's surroundings. Current methods for information gathering, such as Monte Carlo Tree Search, are capable of reasoning over long horizons, but they are computationally expensive. An alternative for fast online execution is to train, offline, an info...
