Deception is a common behavior not only in humans but also in animals. We focus on deceptive behavior in robotics because the appropriate use of deception is beneficial in several domains ranging from the military to a more everyday context. In this project, we proposed a taxonomy of robot deception and developed novel algorithms for robots' deceptive behaviors inspired by biological findings. In more recent work, we are developing computational models and conducting human-subject studies for a robot's other-oriented deception in the context of Human-Robot Interactions (HRI).
The role of the Mobile Robot Laboratory is to discover and develop fundamental scientific principles and practices that are applicable to intelligent mobile-robot systems. In addition, the laboratory facilitates technology transfer of its research results to yield solutions for a range of applications.