Abstract-To engage in cooperative activities with human partners, robots have to possess basic interactive abilities and skills. However, programming such interactive skills is a challenging task, as each interaction partner can have different timing or an alternative way of executing movements. In this paper, we propose to learn interaction skills by observing how two humans engage in a similar task. To this end, we introduce a new representation called Interaction Primitives. Interaction primitives build on the framework of dynamic motor primitives (DMPs) by maintaining a distribution over the parameters of the DMP. With this distribution, we can learn the inherent correlations of cooperative activities which allow us to infer the behavior of the partner and to participate in the cooperation. We will provide algorithms for synchronizing and adapting the behavior of humans and robots during joint physical activities.

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Multi-modal densities appear frequently in time series and practical applications. However, they cannot be represented by common state estimators, such as the Extended Kalman Filter (EKF) and the Unscented Kalman Filter (UKF), which additionally suffer from the fact that uncertainty is often not captured sufficiently well, which can result in incoherent and divergent tracking performance. In this paper, we address these issues by devising a non-linear filtering algorithm where densities are represented by Gaussian mixture models, whose parameters are estimated in closed form. The resulting method exhibits a superior performance on typical benchmarks.

Nowadays, the internet of things plays a crucial role in our life by connecting things with humans via the web. This study proposes a sensible system supported Arduino components, website and mobile application. The system helps drivers to seek out an empty park space counting on the amount of unoccupied lots within the park. The parking lots are impossible to be reserved with the standard parking system. This study provides a mobile app which will be utilised to seek out a free lot during a nearest park. Smart parking also help to reduce the pollution in cities as it help in fuel consumption. Moreover, it helps to scale back the time of finding car lot. Also, it helps the person who is driving to seek out his car when he forgets the car location easily. However; the system adopts new tables’ structure, yellow booking light within the parking zone, books and buys through app & gate circuit monitor. Finally, the system shows the reserved, booked and empty lots in park for workers and drivers.

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