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Outputs (15)

Impact of resolution, colour, and motion on object identification in digital twins from robot sensor data (2022)
Journal Article

This paper makes a contribution to research on digital twins that are generated from robot sensor data. We present the results of an online user study in which 240 participants were tasked to identify real-world objects from robot point cloud data. I... Read More about Impact of resolution, colour, and motion on object identification in digital twins from robot sensor data.

Mutual shaping in swarm robotics: User studies in fire and rescue, storage organization, and bridge inspection (2020)
Journal Article

Many real-world applications have been suggested in the swarm robotics literature. However, there is a general lack of understanding of what needs to be done for robot swarms to be useful and trusted by users in reality. This paper aims to investigat... Read More about Mutual shaping in swarm robotics: User studies in fire and rescue, storage organization, and bridge inspection.

Systematic analysis of video data from different human-robot interaction studies: A categorisation of social signals during error situations (2015)
Journal Article

Human–robot interactions are often affected by error situations that are caused by either the robot or the human. Therefore, robots would profit from the ability to recognize when error situations occur. We investigated the verbal and non-verbal soci... Read More about Systematic analysis of video data from different human-robot interaction studies: A categorisation of social signals during error situations.

Using Embodied Multimodal Fusion to Perform Supportive and Instructive Robot Roles in Human-Robot Interaction (2013)
Journal Article

We present a robot that is working with humans on a common construction task. In this kind of interaction, it is important that the robot can perform different roles in order to realise an efficient collaboration. For this, we introduce embodied mult... Read More about Using Embodied Multimodal Fusion to Perform Supportive and Instructive Robot Roles in Human-Robot Interaction.