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Enhancing Software and Hardware Reliability for a Successful Participation in the RoboCup Logistics League 2017

机译:增强软件和硬件可靠性,以成功参加2017年机器人世界杯物流联盟

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In 2017, the RoboCup Logistics League (RCLL) has seen major changes to the playing field layout, which allows for more configuration variants that are now generated randomly and automatically, leading towards a more realistic smart factory scenario. The Carologis-tics team developed a new strategy for exploration and improved existing components with a particular focus on navigation and error handling in the behavior engine and high-level reasoning. We describe the major concepts of our approach with a focus on the improvements in comparison to last year, which enabled us to win the competition in 2017.
机译:在2017年,机器人世界杯物流联盟(RCLL)看到了运动场布局的重大变化,这允许现在随机自动自动生成更多配置变体,从而导致更现实的智能工厂场景。 Carologis-tics团队开发了一种新的探索策略,并改进了现有组件,尤其着重于行为引擎和高级推理中的导航和错误处理。我们描述了我们方法的主要概念,重点是与去年相比的改进,这使我们能够在2017年赢得竞争。

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