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Energy reduction is a key issue for the design of real-time embedded systems. In this context, energy harvesting has emerged as a feasible option to increase the autonomy of battery-based real-time embedded systems and became subject of intensive research. However, current studies usually rely on discrete driven in-house simulators or use mathematical models only. Unfortunately, those approaches hide...
Current technology produces a big mass of information. The application of this information gives meaning and purpose to this data. Mobile robots can benefit from this information. This paper proposes a framework to apply semantic information to the navigation of autonomous mobile robots, tracking the robot movement into a semantic trajectory and analyzing the context data on the decision-making process...
Autonomous Mobile Robots should be independent from human assistance. One of the open issues is the ability to manage the energy level to maximize its use and avoid human interaction to rescue a robot without energy. Several works on the literature focus on how to recharge an autonomous mobile robot, proposing hardware modification and complex energy stations. In this paper we propose a new method...
Distributed real-time threads are schedulable entities with an end-to-end deadline that traverse nodes, carrying their scheduling context. In each node, the thread will be locally scheduled and predictions about deadline missing allow that actions are carried out to improve system performance. This paper presents a task model and deadline partitioning algorithms that consider the possibility of a...
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