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Proceedings of the 3rd International Conference on Service Robotics Technologies最新文献

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Complete-Coverage Path Planning Algorithm of Multiple Mobile Robots Based on Reliability Functions 基于可靠性函数的多移动机器人全覆盖路径规划算法
Shuai Zhang, Jianlei Zhang
The multi-robot complete coverage problem in unknown area refers to that multi-robots obtain environment information through their sensors in unknown environment, and cooperate with each other to search the specific task area. For the complete-coverage path planning of multiple mobile robots, an algorithm based on grid reliability function was proposed. Firstly, positional reliability function value is calculated according to the information of the environment, the obstacles, covered grids and uncovered grids; Secondly, in order to reduce the path repetition rate and improve the coverage efficiency, the directional reliability function is introduced to adjust the grid function values and guides robots to uncovered grid efficiently; Thirdly, the robots make sure that there will be no excessive proximity between robots while robots cover the area, the density between robots is measured by dense reliability function value. In the final session, by compared with bio-inspired neural network algorithm in two scenarios: box simulation and simulated real environment in gazebo world, the algorithm proposed in this paper was verified to own lower repetition rate and shorter trajectory length.
未知区域的多机器人完全覆盖问题是指多机器人在未知环境中通过传感器获取环境信息,并相互协作搜索特定的任务区域。针对多移动机器人的全覆盖路径规划问题,提出了一种基于网格可靠性函数的路径规划算法。首先,根据环境、障碍物、覆盖网格和未覆盖网格信息计算位置可靠性函数值;其次,为了降低路径重复率,提高覆盖效率,引入方向可靠性函数来调整网格函数值,有效地引导机器人到未覆盖的网格;第三,在机器人覆盖区域时,确保机器人之间不会过度靠近,机器人之间的密度由密集可靠度函数值衡量。最后,通过与仿生神经网络算法在盒子仿真和露台世界模拟真实环境两种场景下的对比,验证了本文算法具有较低的重复率和较短的轨迹长度。
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引用次数: 0
A High Telepresence Visual Perception Method Based on VR Technology, Depth Camera and Three Degree of Freedom Series Robot 基于VR技术、深度相机和三自由度系列机器人的高临场视觉感知方法
Zhiwen Xie, Zeyu Shi, Hui Wu
In the system design of electric robot, in order to improve the realism and telepresence of robot control, virtual reality (VR) technology is introduced into the design process, which can bring better experience to users. This paper studies a high telepresence visual perception method, adopts VR technology, depth camera and three degree of freedom series robot, and designs the inverse kinematics solution and target scaling algorithm of the operating system, which is of great research significance for the visual design of electric robot.
在电动机器人的系统设计中,为了提高机器人控制的真实感和临场感,在设计过程中引入了虚拟现实(VR)技术,可以给用户带来更好的体验。本文研究了一种高临场视觉感知方法,采用VR技术、深度相机和三自由度系列机器人,设计了操作系统的运动学逆解和目标缩放算法,对电动机器人的视觉设计具有重要的研究意义。
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引用次数: 0
Proceedings of the 3rd International Conference on Service Robotics Technologies 第三届服务机器人技术国际会议论文集
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引用次数: 0
期刊
Proceedings of the 3rd International Conference on Service Robotics Technologies
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