Biblio

Filters: Author is Pranav Srinivas Kumar  [Clear All Filters]
2017-10-27
Pranav Srinivas Kumar, William Emfinger, Gabor Karsai, Dexter Watkins, Benjamin Gasser, Amrutur Anilkumar.  2016.  ROSMOD: a toolsuite for modeling, generating, deploying, and managing distributed real-time component-based software using ROS. Electronics. 5
This paper presents the Robot Operating System Model-driven development tool suite, (ROSMOD) an integrated development environment for rapid prototyping component-based software for the Robot Operating System (ROS) middleware. ROSMOD is well suited for the design, development and deployment of large-scale distributed applications on embedded devices. We present the various features of ROSMOD including the modeling language, the graphical user interface, code generators, and deployment infrastructure. We demonstrate the utility of this tool with a real-world case study: an Autonomous Ground Support Equipment (AGSE) robot that was designed and prototyped using ROSMOD for the NASA Student Launch competition, 2014–2015.
Subhav Pradhan, Abhishek Dubey, Tihamer Levendovszky, Pranav Srinivas Kumar, William Emfinger, Daniel Balasubramanian, Gabor Karsai.  2016.  Achieving resilience in distributed software systems via self-reconfiguration. Journal of Systems and Software. 122

Improvements in mobile networking combined with the ubiquitous availability and adoption of low-cost development boards have enabled the vision of mobile platforms of Cyber-Physical Systems (CPS), such as fractionated spacecraft and UAV swarms. Computation and communication resources, sensors, and actuators that are shared among different applications characterize these systems. The cyber-physical nature of these systems means that physical environments can affect both the resource availability and software applications that depend on resource availability. While many application development and management challenges associated with such systems have been described in existing literature, resilient operation and execution have received less attention. This paper describes our work on improving runtime support for resilience in mobile CPS, with a special focus on our runtime infrastructure that provides autonomous resilience via self-reconfiguration. We also describe the interplay between this runtime infrastructure and our design-time tools, as the later is used to statically determine the resilience properties of the former. Finally, we present a use case study to demonstrate and evaluate our design-time resilience analysis and runtime self-reconfiguration infrastructure.