智能家居机器人可分全向移动系统人机跟随的设计与实现

Che-Wen Chen, Shih-Pang Tseng, Yao-Tsung Hsu, Jhing-Fa Wang
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引用次数: 7

摘要

本文实现了一种适用于家用机器人的全向移动系统,该系统具有跟随用户、走向用户和路径避障等功能。该移动系统可与家用机器人独立分离或组合。在分离状态下,可以远程控制独立移动系统,或切换使其自动前进,避开路径上的障碍物。在组合状态下,移动系统可以远程拉动重量超过30公斤的家用机器人。此外,移动系统可以通过蓝牙从深度摄像头Kinect获取用户位置信息和手势识别的结果来跟随或来到用户身边。手势识别可以让机器人在语音识别失败的情况下(例如嘈杂的环境)也能接收到用户的信息,提高了用户跟踪功能在实际现场的可用性。移动系统采用专门执行特定任务的单片机控制,采用延迟分时接收设计,四个子系统可以通过蓝牙和RF 2.4G无线传输快速切换控制,从而实现一定程度的多任务处理能力。另一方面,动力子系统所采用的全向轮可以帮助机器人完成传统两轮机器人难以完成的平移和旋转运动。其中平移运动可以让机器人更快更灵活地避开路径上的障碍物,而旋转运动可以让机器人在用户转身时在短时间内以大角度旋转锁定用户,使目标始终位于Kinect摄像头的视线范围内。最后,论文在模拟的家庭环境中设计了各种实验来验证移动系统的设计,包括路径避障、跟随用户和走向用户,结果表明移动系统在家庭环境条件下具有良好的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design and implementation of human following for separable omnidirectional mobile system of smart home robot
The paper implements an omnidirectional mobile system that applies to home robots with functions including follow the user, come to the user and path obstacle avoidance. The mobile system can be independently separated or combined with the home robot. In the separation state, the independent mobile system can be remotely control, or switch to make it automatically go forward and avoid obstacles in the path. In the combined state, the mobile system can remotely pull the home robot which weight more than 30 kilograms. In addition, the mobile system can follow or come to the user through the user position information and the results of gesture recognition via Bluetooth from the depth camera Kinect. The gesture recognition allows the robot to receive the message from the user even when speech recognition fails (for example, noisy environment), which improves the usability of user tracking function in actual field. The mobile system uses single-chip control that is specializes in executing specific tasks, while with the delay time sharing reception design, four subsystems can quickly switch their control using Bluetooth and RF 2.4G wireless transmission, therefore achieve a certain degree of multitasking ability. On the other hand, the omnidirectional wheel used by the power subsystem can help the robot to do translation and spin movement that is difficult for the traditional two-wheeled robot. Among them, the translation movement allow the robot to avoid obstacle in the path faster and more flexible, while the spin movement allow the robot to lock user with large angle rotation when user is turning around in a short time, so that the target can always be located within the sight of Kinect camera. Finally, the paper design various experiments in the simulated home environment to verify the mobile system design, including path obstacle avoidance, follow the user and come to the user, and the results show that the mobile system have good performance in home environmental conditions.
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