• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>Unmanned Systems Technology IX; Proceedings of SPIE-The International Society for Optical Engineering; vol.6561 >Modular robotic intelligence system based on fuzzy reasoning and state machine sequencing
【24h】

Modular robotic intelligence system based on fuzzy reasoning and state machine sequencing

机译：基于模糊推理和状态机排序的模块化机器人智能系统

获取原文
获取原文并翻译 | 示例
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The fusion of multiple behavior commands and sensor data into intelligent and cohesive robotic movement has been the focus of robot research for many years. Sequencing low level behaviors to create high level intelligence has also been researched extensively. Cohesive robotic movement is also dependent on other factors, such as environment, user intent, and perception of the environment. In this paper, a method for managing the complexity derived from the increase in sensors and perceptions is described. Our system uses fuzzy logic and a state machine to fuse multiple behaviors into an optimal response based on the robot's current task. The resulting fused behavior is filtered through fuzzy logic based obstacle avoidance to create safe movement. The system also provides easy integration with any communications protocol, plug-and-play devices, perceptions, and behaviors. Most behaviors and the obstacle avoidance parameters are easily changed through configuration files. Combined with previous work in the area of navigation and localization a very robust autonomy suite is created.
机译：多年来，将多种行为命令和传感器数据融合到智能且具有凝聚力的机器人运动中一直是机器人研究的重点。对低水平行为进行排序以创建高水平智能的方法也得到了广泛的研究。具有凝聚力的机器人运动还取决于其他因素，例如环境，用户意图和对环境的感知。在本文中，描述了一种用于管理由于传感器和感知的增加而引起的复杂性的方法。我们的系统使用模糊逻辑和状态机将多个行为融合为基于机器人当前任务的最佳响应。通过基于模糊逻辑的避障来过滤生成的融合行为，以创建安全的运动。该系统还提供与任何通信协议，即插即用设备，感知和行为的轻松集成。通过配置文件可以轻松更改大多数行为和避障参数。结合导航和本地化领域的先前工作，创建了一个非常强大的自治套件。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号