Multi-functional robot control platform, executing multi-stage process files in complex, non-deterministic environments, achieving 99.8% performance level reliability in accordance to guaranteed functional outcome predefined by sensoric data

通过我们成功的Innovate UK Smart项目（申请号：23797），我们完成了行业领先的Moley机器人厨房的初始产品演示，并通过我们现有的现场Innovate UK Smart项目（申请号：72673），我们正在通过重新设计和升级固件和软件来开发我们的机器人手，利用Moley新颖的专利微操作概念。这种智能机器人手将能够实时自动调整烹饪环境的变化，并以99%的最佳性能值执行超过1000次可重复操作。通过这些努力，我们发现了当前机器人培训过程的缺点。目前的技术在执行时间、计算负载、传感器硬件和数据准确性方面是昂贵的，并且导致传感器和计算误差累积，其不能保证在每个时间步长处的轨迹解。类似地，我们现有的机器人规划/训练系统是基于在每个时间步的机器人设备参数的连续和迭代的多级调整。这种方法使得这些技术无法扩展到商业推广和行业范围的应用。该项目的目的是建立在莫利现有的机器人软件架构和功能，以提供一个机器人控制软件包，服务于高度互动的机器人操作行业的需求，- 动态和非确定性环境，其保持所请求的时间参数适合于区域过程文件，而不需要每次连续感测和重新规划;步所提出的解决方案显著降低了利用该技术的设备的传感器和硬件要求，从而允许可扩展到更复杂的环境中。此外，该技术将机器人设备重新编程以进行不同操作所需的长时间重新训练/校准程序减少了90%。我们计划开发我们的专利多级微操纵训练软件，并在复杂的非确定性环境中执行轨迹的机器人设备上展示。该项目的成功完成有可能彻底改变机器人技术在酒店、零售和医疗保健等行业商用厨房的适用性，并将该技术的应用扩大到化学实验室设备和制药等其他无法实现的市场。

Through our successful Innovate UK Smart project (Application Number: 23797), we completed an initial product demonstrator of the industry-leading Moley Robotic Kitchen and through our existing live Innovate UK Smart project (Application number: 72673) we are building on this technology by redesigning and upgrading firmware and software to develop our Robotic Hand, utilising Moley's novel patented concept of minimanipulations. This intelligent Robotic Hand will be capable of automatically adjusting to changes inside the cooking environment in real-time and perform over 1000 repeatable operations with a 99% optimal performance value.Through these endeavours we have identified the shortcomings of current robotic training processes. Current technologies are costly in terms of execution time, computational load, sensory hardware and data-accuracy and result in a sensory and computational error-accumulation that cannot guarantee a trajectory solution at every time-step. Similarly, our existing robot planning/training system is based on continuous and iterative multiple-level adjustments of robotic apparatus parameters at each time-step. This approach makes these technologies unscalable for commercial rollout and industry-wide application.The aim of this project is to build on Moley's existing robotic software architecture and functionality in order to deliver a robot control software package that serves the industry's need for robotic manipulations in highly interactive, dynamic and non-deterministic environments that maintains the requested time-parameters fit to the regional process file without requiring continuous sensing and re-planning at every time-step. The proposed solution significantly lowers the sensory and hardware requirements of apparatuses utilising this technology, thus allowing for scalability into more complex environments. Additionally, this technology decreases the long re-training/-calibration procedures by 90%; procedures that are required when reprogramming a robotic apparatus for different operations.We plan to develop our patented, multi-level minimanipulation training software and showcase it on a robotic apparatus that executes trajectories in a complex, non-deterministic environment. Successful completion of this project has the potential to revolutionise the applicability of robotics in commercial kitchens found in industries such as hospitality, retail and healthcare, and will broaden the application of this technology into otherwise unattainable markets such as chemical laboratory equipment and pharmaceutical production.