000			01705nam a22001577a 4500
082			_a629.8
100			_aAsif, Muhammad Hassaan _9120662
245			_aAn Unreal Engine Based Human Robot Interaction Framework / _cMuhammad Hassaan Asif
264			_aIslamabad : _bSMME- NUST; _c2022.
300			_a64p. _bSoft Copy _c30cm,
500			_aExisting frameworks lack the support for testing Human Robot Interaction (HRI) research which in turn often has to be tested practically making it time consuming and expensive. To overcome this issue, a HRI framework based on Unreal Engine is proposed which consists of a virtual Nao or Pepper robot along with virtual humans with verbal and non-verbal behaviours in an environment. Machine Learning (ML) algorithms along with the behaviour of the virtual robot in response to the interaction with the virtual humans and the environment can be programmed using a Python API which communicates with Unreal Engine C++ in real time. Several experiments related to multiple aspects of HRI: (1) Verbal Interaction; (2) Non-Verbal Interaction; (3) Emotional Interaction were conducted in both the virtual and real world environments and the results were compared to validate the feasibility of the framework. A Reinforcement Learning (RL) algorithm was also tested to further indicate the usefulness of the framework. Through the use of a Virtual Reality (VR) headset, a human can be immersed in the framework to interact with the robot in real time
650			_aMS Robotics and Intelligent Machine Engineering _9119486
700			_a Supervisor : Dr. Sara Ali _9119733
856			_uhttp://10.250.8.41:8080/xmlui/handle/123456789/31902
942			_2ddc _cTHE
999			_c607826 _d607826