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A first approach in applying Artificial Potential Fields in Car GamesUusitalo, Tim January 2011 (has links)
In car racing simulation games, finishing first is the main goal. To reach that goal, it is required to go around a racing track, competing against other cars aiming for the same goal. Implementing a bot for doing so may have its difficulties, although using a technique called multi-agent systems combined with artificial potential field, let- ting the agents take care of subtasks like keeping the car on the track, minimize how much the car turns in a curvature and basics in navigation around the track, has showed that artificial potential fields very well fit the problem of driving a car in simulated car racing in a competitive way. / Mobiltelefon: 0707422666
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Cart : Car driving game using Godot and ML-based full-body interactionKarlsson, Sebastian January 2022 (has links)
Sedentary lifestyles have bad health implications and are common amongst office workers. Therefore, exergames has risen to attention to assist with these issues and is a suitable alternative for those that find regular exercise boring or are seeking to complement regular exercise with short breaks to keep the blood flowing during office hours. Thus, the exergame Cart has been developed to assist in a less sedentary lifestyle with a 2-minute game to play during breaks. In this paper a discussion will be held about how an exergame can be created and will be evaluated by how the game encourages movement and what correlation the movement has compared to the score. As the score is the primary indicator of player performance and is the incentive for the player to keep better themselves. The findings show promising results indicating that the game does encourage movement and has a solid correlation to score, however not in a linear fashion.
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