iSAI-NLP Track 4: Robotics, IoT and Embedded System

High performance embedded computing has recently become more and more present in devices used in everyday life. A wide variety of applications require building up powerful yet cheap embedded devices. In this context, embedded software has turned out to be more and more complex, posing new challenging issues. Design of embedded systems must take into account a wide variety of constraints: performance, code size, power consumption, presence of real-time tasks, robustness, maintainability, security, and possibly scalability. Novel robotics applications is one of a good example in high performance embedded system that can driven by research, industry and society call for the development of systems of ever increasing complexity: systems with sliding autonomy. Software development for autonomous robots and to boost a smooth shifting of results from simulated to real-world applications is needed.

In recent years, Internet has become increasingly pervasive. Internet of Things (IoT) enables large numbers of previously unconnected devices to communicate and exchange data and deal with services that span areas from healthcare to transportation and much more, with the potential for significant benefits to people and quality of life. The IoT would also enable a range of new capabilities and services far beyond today’s offerings, which will radically change the life styles of future human generation. Areas of interest include, but not limited to:

  • Embedded Software and Compilers
  • Health and medical wireless applications
  • OS and middleware for mobile computing
  • Parallel architectures and computational models
  • Control algorithms and control systems
  • Manufacturing robotics
  • Computational methodologies in robotics
  • Human-Robot Interaction
  • Robotic cognition and emotion
  • Robotic perception and decision
  • Sensor integration, fusion, and perception
  • IoT Application and Services
  • IoT Mobility, localization, tracking & security

Track Chair

  • Mahasak Ketcham, King Mongkut’s University of Technology North Bangkok, Thailand
  • Michael Pecht, University of Maryland, United States of America
  • Thaweesak Yingthawornsuk, King Mongkut’s University of Technology Thonburi, Thailand

Technical Committee

  • Vijay Kumar Banga, Amritsar College of Engineering & Technology, India.
  • Ahmad Alsahaf, University of Groningen, Netherlands.
  • Estefania Talavera, University of Groningen, Netherlands.
  • Gurjeet Singh, Amritsar College of Engineering & Technology, India.
  • Hiroya Takamura, Tokyo Institute of Technology, Japan.
  • Isao Echizen, National Institute of Informatics, Japan.
  • Kazuaki Maeda, Chubu University, Japan.
  • Kei Eguchi, Fukuoka Institute of Technology, Japan.
  • Michel Plaisent, University of Quebec in Montreal, Canada.
  • Montean Rattanasiriwongwut, King Mongkut’s University of Technology North Bangkok, Thailand.
  • Nattavee Utakrit, King Mongkut’s University of Technology North Bangkok, Thailand.
  • Nicola Strisciuglio, University of Groningen, Netherlands.
  • Patiyuth Pramkeaw, King Mongkut’s University of Technology Thonburi, Thailand.
  • Rakesh Jaitly, Amritsar College of Engineering & Technology, India.
  • Sakchai Tangwannawit, King Mongkut’s University of Technology North Bangkok, Thailand.
  • Tanapon Jensuttiwetchakul, King Mongkut’s University of Technology North Bangkok, Thailand.
  • Thittaporn Ganokratanaa, Chulalongkorn University, Thailand.