The scope of this workshop targets the recent overlap of the latest advances between both autonomous systems, including robots, and new network technologies. On one hand, autonomous applications embedded in automatic environments have rapidly expanded from classical industrial ones to applications where different modular devices, actuators and sensors interact closely and on the other hand communication technologies have also known a great growing development related to sensor networks, ad-hoc networks, wireless networks, etc. Healthcare and wellness applications such as helping elderly people, assisting dependent persons, habitat monitoring in a smart environment constitute some of the potential scenarios of convergence between robotic systems and network technologies. These applications, which are based on high-level commands and in order to accomplish some specific tasks, reveal new challenges regarding mechanic design, portability, acceptability, power support, control theory, etc. In addition to portability and low-power systems, which are vital challenges that limit substantially any successful robotic application, network paradigms should also take into account issues related to cost, scalability and security. This workshop will highlight the overlapping of these two domains of autonomous systems and network technologies devoted for different applications. Issues related to concepts, new technologies, and protocols will elicit particular attention. 


The workshop solicits papers addressing, but are not limited to, the following topics: 

  • Autonomous manipulation using service robots 
  • Architecture and protocol for wireless based sensor networks (energy efficiency, collision-free, low-power, etc.) 
  • Pervasive communication in autonomous application fields 
  • Rehabilitation robotics, exoskeletons, smart textile clothes and wearable robots applications 
  • Context-awareness and ubiquitous robotics 
  • Secure, scalable and low cost network paradigms applications 
  • Techniques of sensing, actuation and recognition 
  • Applications of Autonomous Behavior 
  • Design modeling and control of autonomous robotic systems 
  • Assistive robotic technology 
  • Energy optimization of autonomous systems 
  • Monitoring and security of autonomous systems in intelligent environment 
  • Context awareness using sensor networks 
  • Network based transmission architecture for controlling autonomous systems 
  • Real-time network based structure using sensors, actuators and transducers, etc.