CoRob: Cooperating Robots
Persons participating in the project
Learning is an important issue in
Also, mobile robot navigation techniques are of utmost importance in domestic tasks since the robots have to explore the environments to achieve their objectives. Learning models can be very effective to help robots acquire knowledge about the environment, for
Depending on the size of the environment the use of a single robot can represent a significant delay, as the robot has to learn about the whole map or about all objects in the scene and also perform the task. The use of multiple robots can decrease the time required to accomplish a task, as each robot would not need to know the whole scene. On the other hand, as the knowledge acquired by each robot is partial, the robots can take inefficient decisions. For example, two or more robots can decide to navigate to the same place or each robot can choose a distant place to clean, which would better be served by another robot. To solve this problem, the robots should create strategies to distribute the workload in the team, using models to estimate the state of the other robots. This strategy allows robots to
Summarizing, the CoRob Project will address the following main points:
- Understanding the environment: using neural networks to learn the map and to recognize objects from a single robot's sensors.
- Robot cooperation: the robot team will distribute itself optimally to combine partial knowledge and to jointly accomplish tasks such as cleaning.