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

通过我们成功的创新英国智能项目（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，并通过我们现有的实时创新英国智能项目（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械手，利用Moley的新颖的最小化操作专利概念。这款智能机器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1000多次可重复操作。通过这些努力，我们发现了当前机器人训练过程的缺点。当前的技术在执行时间、计算负载、传感器硬件和数据精度方面都是昂贵的，并且导致传感器和计算误差的累积，无法保证在每个时间步长都能得到轨迹解。同样，我们现有的机器人规划/训练系统是基于机器人设备参数在每个时间步上的连续迭代多级调整。这种方法使得这些技术在商业推广和行业范围内的应用中无法扩展。该项目的目的是建立在Moley现有的机器人软件架构和功能的基础上，以提供一个机器人控制软件包，满足行业对机器人操作的需求，在高度互动、动态和不确定性的环境中，保持所需的时间参数适合区域过程文件，而不需要在每个时间步长进行连续的传感和重新规划。提出的解决方案显着降低了使用该技术的设备的感官和硬件要求，从而允许在更复杂的环境中进行可扩展性。此外，该技术将长时间的再培训/校准过程减少了90%；对机器人设备进行重新编程以适应不同操作所需的程序。我们计划开发我们的专利，多级最小化操作训练软件，并将其展示在机器人设备上，该设备可以在复杂的，不确定的环境中执行轨迹。该项目的成功完成有可能彻底改变机器人在酒店、零售和医疗保健等行业的商业厨房中的适用性，并将这项技术的应用范围扩大到化学实验室设备和制药生产等其他难以实现的市场。

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.