Yonghua Chen

Yonghua Chen, Ph.D.
Associate Professor, Department of Mechanical Engineering
University of Hong Kong
yhchen@hku.hk

Biography:
Dr. Y.H. Chen is currently an associate professor in the Department of Mechanical Engineering, The University of Hong Kong. He has worked intensively on Additive Manufacturing and Robotics in the past 20 years. Dr. Chen has co-authored more than 200 journal and conference papers, two books, and 5 patents. Recently, he has secured more than $8 million to conduct research on biomimetic and soft robotics. Since 1997, Dr. Chen has organized more than 10 international conferences on manufacturing and automation. He has also served as editorial members for 5 international journals. He is now taking on the challenge of 3D printing smart robotics that could be driven by tissue-engineered muscle.

Topic title:Artificial Muscles: Actuation Mechanisms and Designs for Robotic Applications
Abstract:The main function of natural muscle is to produce force and motion such as locomo-tion, posture change, etc. Artificial muscles are expected to provide similar functions using smart materials and devices that can reversibly contract corresponding to an external stimulus (such as voltage, current, pressure, temperature, light, electro/magneto field, etc.). This presentation will focus on controllable artificial muscles that can provide the functionality of skeletal muscles because they are commonly applied to robotic research and development in recent years.
Metrics for skeletal like artificial muscles will be proposed to compare different principles of artificial muscles. Such metrics will include stress and strain properties, energy density, energy efficiency, and actuation frequency. A novel deformation in-duced fluidic artificial muscle actuation method will be elaborated and evaluated against the proposed metrics. Sample applications of the proposed method to limb actuation as shown in Figure 1 will be presented.
 
     
Figure 1. Skeletal Muscles in Limb and Finger Actuation
Key Dates
Key Dates
Abstract continue accepting
Deadline for Submission of Abstract:

October 31, 2019

Notification of abstract acceptance:
November 15, 2019




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