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Offloading cognitive load for expressive behaviour : small scale HMMM with help of smart sensors

Manen, B.T. van (2019) Offloading cognitive load for expressive behaviour : small scale HMMM with help of smart sensors.

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Abstract:With current technology advancing in a wide variety of fields, more and more robots are found in the modern world. For industrial purposes, military or in the form of toys, they become irreplaceable. However, one relatively new field of application is social robotics. These robots are designed with human-robot interaction in mind and thus human-like and expressive behaviours are crucial for their performance. Instead of being actors, mixing autonomous en deliberate behaviour in one smooth action, many are still passive agents who respond only to direct inputs. HMMMis a software architecture that responds to this problemefficiently by combining behaviour requests, currently applied to robots such as the EyePi. However, these robots also bring their limitations, they remain very expensive, complex and not suited for rapid lowcost prototyping. They can also not be disassembled and reassembled at will by any bachelor level studentmaking then unpractical for robotic or sensor courses. The goal of this bachelor’s thesis is to assemble a collection of off the shelf building blocks in speech recognition, computer vision and visual display, together with a set of programming scripts for rapid and low cost prototyping of minimal social robots. Effectively creating a toolkit to enable bachelor level students of wide backgrounds to create a simple social robot with smart sensors and a simple processing unit. The toolkit takes into account emotion recognition and multi- modal mixing for a fluent behaviour. The project seeks a simple, low-cost alternative for creating social robots as the previously mentioned EyePi. Robotics
Item Type:Essay (Bachelor)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Programme:Electrical Engineering BSc (56953)
Link to this item:http://purl.utwente.nl/essays/80954
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