远程操控的全方位双臂移动机械系统，用于零售商店的共享控制
Teleoperated Omni-directional Dual Arm Mobile Manipulation Robotic System with Shared Control for Retail Store
AI总结：
本研究提出了一种远程操控的全方位双臂移动机器人系统，用于零售环境，通过共享控制和VR技术实现人机协作，提升在动态零售场景中的操作能力。
摘要：
快速发展的零售行业正越来越多地采用由人工智能和机器学习算法驱动的自主移动机器人，以在竞争市场中取得优势。然而，这些自主机器人在适应零售产品动态特性方面面临挑战，往往在新的情况下难以自主操作。在本研究中，我们介绍了一种全方位双臂移动机器人，专门用于零售环境。此外，我们提出了一种远程操作方法，使机器人和人类操作员之间实现共享控制。该方法利用虚拟现实（VR）运动捕捉系统来捕捉操作员的指令，然后将这些指令传输到远程零售环境中的机器人。此外，机器人在两个机械臂上配备了异构夹具，能够处理各种物品。我们通过在零售环境模拟中的测试验证了所提系统的有效性，展示了其能够使用单臂和双臂协同操作技术处理各种常见零售物品的能力。
英文摘要：
The swiftly expanding retail sector is increasingly adopting autonomous mobile robots empowered by artificial intelligence and machine learning algorithms to gain an edge in the competitive market. However, these autonomous robots encounter challenges in adapting to the dynamic nature of retail products, often struggling to operate autonomously in novel situations. In this study, we introduce an omni-directional dual-arm mobile robot specifically tailored for use in retail environments. Additionally, we propose a tele-operation method that enables shared control between the robot and a human operator. This approach utilizes a Virtual Reality (VR) motion capture system to capture the operator's commands, which are then transmitted to the robot located remotely in a retail setting. Furthermore, the robot is equipped with heterogeneous grippers on both manipulators, facilitating the handling of a wide range of items. We validate the efficacy of the proposed system through testing in a mockup of retail environment, demonstrating its ability to manipulate various commonly encountered retail items using both single and dual-arm coordinated manipulation techniques.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
