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In this paper, we describe the learning process of an autonomous delivery robot. We will discuss reinforcement learning and which method is used to reach an optimal policy of actions using only the current sensor inputs.
In this paper, we describe the electrical and mechanical makeup of an autonomous delivery robot. We will discuss what processors were used and the tasks each one performs, the sensors that were utilized to evaluate the robots environment, and the steps the robot takes to complete the desired actions.
Quantitative measures of acoustic similarity can reveal patterns of shared vocal behavior in social species. Many methods for computing similarity have been developed, but their performance has not been extensively characterized in noisy environments and with vocalizations characterized by complex frequency modulations. This paper describes methods of… (More)
Bird species often use flight calls to engage in social behavior, for instance maintain group cohesion and to signal individual identity, kin or social associations, or breeding status of the caller. Additional uses also exist, in particular among migrating songbirds for communication during nocturnal migration. However, our understanding of the information… (More)
Automatic classification of animal vocalizations has great potential to enhance the monitoring of species movements and behaviors. This is particularly true for monitoring nocturnal bird migration, where automated classification of migrants' flight calls could yield new biological insights and conservation applications for birds that vocalize during… (More)
Figure legends for Figs 2–4 are incorrectly aligned. Please view the correct Figs 2–4 and legends here. Fig 2. Similarity matrix generated by calculating random forest distance between quantitative features measured from flight calls. Birds are labeled by the bird band assigned given to the bird when the recording was made at the Powdermill bird banding… (More)