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学术报告
Dr. Yuan Ma学术报告会
作者:发布时间:2023-05-19

题目:Developing Advanced Human-machine Mechanical Interfaces

时间:2023年5月19日 9:00-10:00

地点:机械与动力工程学院 F103会议室

邀请人:王京 副教授(智能制造与信息工程研究所)

 

Biography

Dr. Yuan Ma is currently an Assistant Professor in the Department of Mechanical Engineering at the Hong Kong Polytechnic University. 

His research interest includes micro/nano scale mechanical and tribological behavior of human-machine interfaces, haptics metamaterials development, wearable devices with piezoelectret materials, and application of artificial intelligence (AI) in human-machine interactions. 

He has authored some peer-reviewed journal papers in highly respected publications such as Science Robotics, Advanced Materials, ACS Nano, and many others. 

 

Abstract

Over the last several decades, human-machine interactions have been limited to vision and audio channels. The introduction of haptics technologies has enabled users to receive mechanical feedbacks in the form of virtual touch. While the rapidly advancing haptics technologies in wearable devices and surface haptic devices have enabled many exciting applications in virtual reality (VR), augmented reality (AR), telecommunication, and teleoperation, they still suffer from issues in bulkiness, comfortability, and consistency. The solutions to these issues lie in the fundamental understanding of the multi-physics interactions in the human-machine interface, which include contact deformation, capillary formation, electric field, heat transfer, material non-linearity, and their complicated coupling effects. In this talk, Dr. Ma will discuss models on the multi-physics interactions in human-machine interface, with a special emphasis on modeling the finger friction variation on textured surfaces. This talk will also include how the multi-physics models have been applied in developing new wearable sensors, actuators, and surface haptics devices. The discussed models lay the foundation to develop haptics artificial materials (metamaterials) that can deliver any desired haptics performances for the next generation of human-machine mechanical interfaces.

 

 

 

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