PhD Thesis

Human-robot cooperation in urban areas

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  • Started: 01/01/2015
  • Thesis project read: 15/02/2017


The main objective of the presented thesis will be to develop new techniques in Human-Robot collaboration as partners in navigation and search tasks. In navigation, we will develop new methods in the area of collaborative Human-Robot navigation in dynamic environments. We will analyze different models, but specifically we will investigate the extension of the Social Force model to find the collaborative force model of a group of humans while navigate in collaborative way. We will develop models for one person one robot and also for several robots and several persons. Moreover, we will analyze the models with different number, type and distribution of pedestrians. In search, We will develop new methods in the area of collaborative Human-Robot search of people in dynamic environments. We will analyze different models and we will extend the Social Force model to do the task of search people. For example, we will apply this model to find a lost person in a dynamic environment. With these collaborative Human-Robot models, we will explore new ways to combine human and robot skills to overcome specific problems, for example to remove an obstacle that blocks their navigation path.

The thesis is part of the National project textit{Interacción, aprendizaje y cooperación robot humano en áreas urbanas} which aim is to go a step further in the deployment of the social robots in urban environments. This framework will be used in the tests of the research results and we will improve the robot abilities when is collaborating with humans.

The work is under the scope of the following projects:

  • Robot-Int-Coop: Robot-Human Interaction, Cooperation and Learning in Urban Areas (web)
  • ColRobTransp: Colaboración robots-humanos para el transporte de productos en zonas urbanas (web)