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Outputs (297)

Robot humor: How self-irony and Schadenfreude influence people's rating of robot likability (2016)
Presentation / Conference Contribution

© 2016 IEEE. Humor in robotics is a promising, though not yet significantly researched topic. We performed a user study exploring two different kinds of laughter. In our study, participants observed a robot-robot interaction where an iCat and a NAO r... Read More about Robot humor: How self-irony and Schadenfreude influence people's rating of robot likability.

Simultaneous localisation and mapping on a multi-degree of freedom biomimetic whiskered robot (2013)
Presentation / Conference Contribution

A biomimetic mobile robot called 'Shrewbot' has been built as part of a neuroethological study of the mammalian facial whisker sensory system. This platform has been used to further evaluate the problem space of whisker based tactile Simultaneous Loc... Read More about Simultaneous localisation and mapping on a multi-degree of freedom biomimetic whiskered robot.

Does the D.C. response of memristors allow robotic short-term memory and a possible route to artificial time perception? (2013)
Presentation / Conference Contribution

Time perception is essential for task switching, and in the mammalian brain appears alongside other processes. Memristors are electronic components used as synapses and as models for neurons. The d.c. response of memristors can be considered as a typ... Read More about Does the D.C. response of memristors allow robotic short-term memory and a possible route to artificial time perception?.

Design of a hybrid robot control system using memristor-model and ant-inspired based information transfer protocols (2013)
Presentation / Conference Contribution

It is not always possible for a robot to process all the information from its sensors in a timely manner and thus quick and yet valid approximations of the robot's situation are needed. Here we design hybrid control for a robot within this limit usin... Read More about Design of a hybrid robot control system using memristor-model and ant-inspired based information transfer protocols.

An improved 3D imaging system for dimensional quality inspection of rolled products in the metal industry (2013)
Journal Article

Measurement, inspection and quality control in industry have benefited from 3D techniques for imaging and visualization in recent years. The development of machine vision devices at decreased costs, as well as their miniaturization and integration in... Read More about An improved 3D imaging system for dimensional quality inspection of rolled products in the metal industry.

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.

Using memristors to handle cell failures in flexible networks: From programmed cell death to zombies (2013)
Presentation / Conference Contribution

Within a network, cells may fail in multiple ways. It is important that such cells be both identified and isolated from the network as a whole to both allow the failing cell's tasks to be reallocated and for the prevention of cascade failures where a... Read More about Using memristors to handle cell failures in flexible networks: From programmed cell death to zombies.

Unsupervised learning spatio-temporal features for human activity recognition from RGB-D video data (2013)
Presentation / Conference Contribution

Being able to recognize human activities is essential for several applications, including social robotics. The recently developed commodity depth sensors open up newpossibilities of dealingwith this problem. Existing techniques extract hand-tuned fea... Read More about Unsupervised learning spatio-temporal features for human activity recognition from RGB-D video data.