​​ICIICII 2020

​​The Fourth International Conference on Industrial Informatics - Computing Technology, Intelligent Technology, Industrial Information Integration 

Shantou, China  

December 18-19, 2020

Keynote Speech

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Local landscape

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Co-sponsors

Weihua Sheng, PhD，Associate Professor


School of Electrical and Computer Engineering, Oklahoma State University, USA




Title: ASCCBot: A Robotic Assistant for the Home Healthcare Industry



Abstract
     The elderly population around the world is constantly growing. With the shortage of qualified home healthcare professionals in many countries, especially in US, elderly care is becoming a significant societal problem. It is highly desirable to employ new technologies to promote the physical and mental well-being of older adults so they can age independently while enjoying high quality of life, which in the long run will greatly reduce the burden on family members and the healthcare industry. This talk will present the results of several NSF-funded projects in the Laboratory for Advanced Sensing, Computation and Control (ASCC Lab) at Oklahoma State University. These projects aim to develop a robotic health assistant called ASCCBot for home healthcare. Equipped with audio-visual sensors and powered by machine learning algorithms, the ASCCBot is capable of human behavior understanding and natural language conversation, enabling it to provide assistance and companionship to older adults who age in place. This talk will first introduce the companion robot-based smart home framework for home healthcare. It will then focus on human behavior recognition through sound data and human well-being assessment through natural language conversation. Next various companionship functions of the robotic assistant will be demonstrated. The talk will be concluded by discussing the future research directions of this new frontier. 

Biography
     Weihua Sheng is an associate professor at the School of Electrical and Computer Engineering, Oklahoma State University (OSU), USA. He is the Director of the Laboratory for Advanced Sensing, Computation and Control (ASCC Lab, http://ascc.okstate.edu) at OSU.  Dr. Sheng received his Ph.D degree in Electrical and Computer Engineering from Michigan State University in May 2002. He obtained his M.S and B.S. degrees in Electrical Engineering from Zhejiang University, China in 1997 and 1994, respectively.  He has authored more than 200 papers in major journals and international conferences in the area of robotics and automation. Nine of them have won best paper or best student paper awards in major international conferences and journals. His current research interests include social robots, wearable computing, and human robot interaction. His research has been supported by US National Science Foundation (NSF), Department of Defense (DoD), Oklahoma Transportation Center (OTC), etc.  Dr. Sheng is a senior member of IEEE and served as an Associate Editor for IEEE Transactions on Automation Science and Engineering from 2010 to 2019. He recently joined the editorial board of IEEE Robotics and Automation Magazine as an Associate Editor.
  • The bird's-eye view of Shantou University
  • Nan’ao  Island
  • Nan'ao Bridge
  • Zhongshan Pavilion
  • Shantou Coastal Corridor
  • Lotus Pond
  • Gentleman Sculpture Group
Yantao Shen, PhD，Associate Professor


Department of Electrical and Biomedical Engineering at University of Nevada, Reno (UNR)



Title: Adaptive Path Following of Underactuated Biomimetic Snake Robots



Abstract
      Due to the complicated motion control issues caused by under-actuation, high-dimension nonlinearity, uncertainties in kinematics and dynamics, and interactions with complex environments of the snake robots, it makes snake robots gain high efficiency, athletic agility, and environmental adaptability of natural snakes being a challenging problem. In this talk, towards an effective solution/framework for dealing with the efficient movement of a class of underactuated snake robots, we propose a generic adaptive control and path following strategy for motion control of such robots with uncertain kinematics and dynamics. Utilizing this strategy, several advanced path following tasks for a class of underactuated multi-segment snake-like robots were successfully implemented and will be presented. Extensive simulation and experimental results will be further demonstrated to validate that the controlled robots can improve mobility and path following capability on the varied ground environments, which advances the steps for snake robots to be applied in real-world applications.

Biography
     Yantao Shen received his BS and MS degrees from Beijing Institute of Technology, and the Ph. D. degree from the Chinese University of Hong Kong. He is currently an Associate Professor in the Department of Electrical and Biomedical Engineering at University of Nevada, Reno (UNR). Dr. Shen’s current research interests include Biomimetics and Robotics, Bioinstrumentation and Automation, Sensors and Actuators, Visual Servoing, and Tactile & Haptic Interfaces. He has authored-coauthored two book chapters and over 120 peer-reviewed journal and conference papers, and co-holds four US patents. His research papers have been nominated/selected as a finalist for Best Vision Paper Award in the 2001 IEEE ICRA, a finalist for Best Conference Paper Award in the 2007 IEEE RO-MAN, a winner of the T. J. Tarn Best Robotics Paper Award in the 2009 IEEE ROBIO, a finalist for Best Conference Paper Award in the 2014 IEEE ROBIO, a finalist for Best Paper Award in Biomimetics in the 2015 IEEE ROBIO, a finalist for ABB Best Student Paper Award in the 2017 IROS and a finalist for Best Conference Paper Award in the 2019 IEEE AIM.
Dr. Shen’s research is currently supported by NSF and National Robotics Initiative (through NIH R01). He was a recipient of NSF CAREER Award, the 2015 Excellence Award from UNR College of Engineering and the UNR IEEE Outstanding Electrical Engineering Professor in both 2010 and 2011.
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