Recently, the tech company Qiongche Intelligence officially launched a portable device called "RoboPocket." This product, combined with smartphones and a dedicated application, aims to bring precise data collection work from professional laboratories and closed testing fields into more extensive and realistic daily life environments.
Through this device, ordinary users can participate in specific tasks' data recording and uploading. This model achieves a lightweight and controllable workflow, ensuring the continuous production of high-quality, reliable real-world scenario data. The development team stated that this social collaborative data acquisition method will provide a more solid data foundation for the logical construction and behavioral simulation of next-generation intelligent robots.
Industry insiders analyze that the launch of "RoboPocket" signifies the portability of robot training capabilities. Data collection work, which used to rely on specific locations and professionals, can now be carried in everyone's pocket. This transformation not only improves the efficiency and coverage of data collection but also marks that robot training is rapidly advancing from a highly customized research phase to a more practical and life-related stage.
