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This paper proposes micro muT-Kernel, a real-time operating system for networked tiny devices, which adopts a preemptive priority-based scheduling. It provides a sophisticated application programming interface to facilitate software development. In addition, to provide rich functionalities with a small-footprint, the kernel is reconfigurable with respect to the API. Moreover, muT-Kernel supports a...
We propose a proximity detection system that supports pedestrian traffic. Active radio tags are utilized for building the system to reduce the overall system cost. But accurate ranging based on utilizing active radio tags only is difficult to achieve, since the RSSI is affected by small-scale fading of a radio signal in real-world environments. In this paper, 4 simple statistical RSSI filtering methods...
We present a model-based RL approach to cope with continuous space of high D.O.F. robots, combining model learning and an actor-critic method. The model learner generates a discrete state-transition model that helps improvement of both the policy and state-representation. In general, model-based methods tends to fail in non-Markovian problems, but the proposed method, using actor-critic, can find...
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