HUMAN-ROBOT TRUST: Is Motion Fluency an Effective Behavioral Style for Regulating Robot Trustworthiness?

Finding good behavioral styles to express robot trustworthiness will optimize the usage of robots. In previous research, motion fluency as behavioral style was studied. Smooth robot motions were compared with trembling robot motions. In a video experiment an effect of motion fluency on trust was found, while in an Immersive Virtual Environment (IVE) experiment, no effect was observed [1]. In this research, we explored the question whether the motion fluency effect is present in a short version of an IVE task and disappears when the task is longer. Results indicate this is not the case. Several explanations for this null-effect are discussed and several recommendations for further human-robot trust studies are provided

BioMAV: Bio-inspired intelligence for autonomous flight

This paper aims to contribute to research on biologically inspired micro air vehicles in two ways: (i) it explores a novel repertoire of behavioral modules which can be controlled through ?nite state machines (FSM) and (ii) elementary movement detectors (EMD) are combined with a center/surround edge detection algorithm to yield improved edge information used for object detection. Both methods will be assessed in the context of the IMAV 2011 pylon challenge.Control and OperationsAerospace Engineerin

BioMAV: Bio-inspired intelligence for autonomous ?ight

This paper aims to contribute to research on biologically inspired micro air vehicles in two ways: (i) it explores a novel repertoire of behavioral modules which can be controlled through ?nite state machines (FSM) and (ii) elementary movement detectors (EMD) are combined with a center/surround edge detection algorithm to yield improved edge information used for object detection. Both methods will be assessed in the context of the IMAV 2011 pylon challenge