The demand for industrial automation and robotics has been steady increasing across various industries to automate manual work. By embracing autonomous robots, like Automatic Guided Vehicle (AGV) and Autonomous Mobile Robot (AMR), companies can reduce labour cost and enhance safety while increasing operational efficiency. However, this system can be costly, complex to integrate and scale into existing operations and require technical know-how for their operation.
The technology owner has a technology solution focusing on AGV and AMR for industrial automation that aims to address existing adoption challenges. The technology solution provides a plug-and-play approach which comprises of a customisable AI-powered robot controller which can be used to build new industrial robots or to retrofit into existing deployed ones (e.g. AGV). This approach is cost-effective and simplifies integration into current operations. Using a Simultaneous Localisation and Mapping (SLAM) navigation system with ready-to-use software assessable via a mobile device, the technology solution is user-friendly and allows less experienced personnel to operate it easily. Their AI capabilities also enable autonomous decision-making while utilising data analytics for operational efficiency.
The technology owner is looking for collaboration partners, such as industrial system integrators, who are keen to explore customisation of AGV and AMR solutions aimed to improve operation efficiency and reduce cost.
The technology solution, a customisable AI-powered robot controller, enables the creation of AMR or enhancement of existing AGV via retrofitting. This robot controller includes capabilities such as:
The technology solution is a versatile and customisable tool designed for various industrial applications including:
The technology solution is a modular robot controller which incorporates AI-functions into AMR. The simple design enables creation of customised AMR or retrofitting into existing AGV for easy integration into existing operation processes. Its low power consumption also enables efficient performance of the robot, while enabling autonomous decision making and data analytics for operational optimisation.