The main paper goal is to create an adequate trend model by applying a quantitative research method, i.e. trend analysis that will enable prediction of apple production in the Republic of Srpska for a three-year period (2019-2021). Trend analysis involved the use of linear, quadratic and exponential trend models. Prediction is based on data time series for the period 1998-2018. Gained results show that although the unstable production it could be expected the growth of total production and number of apple trees, while apple yields are expected to decline in the observed period. Obtained results can serve for strategic approach in further development of this sector of fruit production.

The aim of the authors was to create an adequate trend model that would be able to forecast the results of potato production in Bosnia and Herzegovina for a three-year period (2019-2021) by using quantitative research method and trend analysis. Data collected during twenty-seven years (1992-2018) were used for forecasting, and the research results have indicated that the farming area and production of potato will decrease, while yield will be the only parameter of potato production that will show the tendency of growth in the obserevd three-year period. The obtained research results can be used for making strategic decisions related to the development of this branch of agricultural production.

One of the most important characteristics of the special (military) vehicles is possibility to move off-road. In order to achieve appropriate possibility characteristics, military vehicles need, beside other things, to fulfil geometric parameters of vehicle, traction characteristics, stability and ability to overcome obstacles of low load-bearing capacity. The contact between tire and ground is very significant for ensuring adequate performance of motor vehicles and great attention must be paid to it. With that in mind, this paper has developed and illustrated the method for calculating specific tire pressure on ground with use of image processing theory.

This report documents the program and the outcomes of Dagstuhl Seminar 19411 “Social Agents for Teamwork and Group Interactions”. It summarises the three talks that were held during the seminar on three different perspectives: the impact of robots in human teamwork, mechanisms to support group interactions in virtual settings, and affect analysis in human-robot group settings. It also details the considerations of six working groups covering the following topics: datasets, design, team dynamics, social cognition, scenarios

Social robots are designed to coexist with people and learn through their interactions. We, in turn, are expected to develop ways of behaving, communicating, and organizing that support robots. Inspired by this co-evolving relationship, this talk will explore social robots as “companion artifacts”, focusing critical attention on how our concepts of self, cultural practices, social organizations, and sociotechnical infrastructures are co-constructed with existing and imagined social robots. I discuss how “Japanese culture” is repeatedly assembled in relation to social robots, what it means to “domesticate” robotic technologies, and how community-based methods can incorporate diverse sociocultural values into social robotics.