This project will develop a prototype of the Autonomous Mobile Robot (AMR) that was initially explored in our AI feasibility study. Featuring an advanced electric drive system, this prototype will demonstrate superior height adjustment and autonomous levelling capabilities using advanced AI systems, aimed specifically at enhancing warehousing operations. The innovation lies in utilising disruptive technology to prototype the patented drive system developed by Cyclopic. A key motivation for this project is the continued collaboration with the award-winning CAV Lab at the University of Surrey. This partnership will extend our research to prove that advanced AI can effectively work with the wheel levelling system to autonomously balance the AMR, achieving optimal pitch and roll, thus ensuring platform stability and load safety while enhancing overall AMR stability. The load balancing capabilities of the platform are augmented by AI sensors that constantly monitor its operation. This enhancement will maximise core fulfilment centre technologies, significantly boosting productivity and efficiency. By integrating AI into the robotic platform, we aim to develop the most effective algorithms for improving platform balance, monitoring the load to increase speed and enhance stability. The AI system will also identify the ideal loading spots on the graphical display for operator convenience. Cyclopic has identified a critical business need and technological challenge: improving the stability of AMRs in warehouse settings. This will be addressed by prototyping the AMR in line with the digital twin simulation produced from our previous collaboration. The resulting AMR model will facilitate networking and engagement opportunities to commercialise the product. Grant funding will support our work with the CAV-Lab, a leading UK centre for autonomous robotic research at the University of Surrey. The University will help establish the AI onboard and develop autonomy to interact with warehousing mapping and navigation systems. The prototype will showcase the drive system utilising state-of-the-art sensors and LiDAR systems as researched by the University of Surrey, producing an AMR that efficiently navigates the factory floor, maintaining a level load bed throughout its journey from station to station. Ultimately, this scalable drive-system project will deliver a demonstrator AMR that will be piloted in a warehouse environment, providing a safer solution for autonomous factory robots that adds value to production tasks and overcomes numerous technical barriers. .

The project will produce a feasibility study for a highly advanced drive-system that will operate an Autonomous Mobile Robot (AMR). The feasibility study will produce a digital twin simulation platform for the AI-powered AMR for warehousing. The project is innovative because it is using disruptive technology the patented Electric Drive System developed by Cyclopic. The main motivation for the project is to work with the award-winning CAV Lab (University of Surrey) to work on the feasibility study to prove that the advanced AI works intelligently with the wheel levelling system to autonomously balance the AMR, achieving pitch and roll. This ensures the stability of the platform, thereby protecting the load and adding greater stability to the AMR. The load balance capabilities of the platform are enhanced by AI sensors that constantly monitor its operation. This will maximise core fulfilment centre technology (warehouse), thereby significantly increasing overall productivity and efficiency. By integrating AI into the robotic platform, we aim to establish the most effective algorithm for improving the platform's balance. This will be done to monitor the load for faster speed and greater stability. The AI system will be able to identify the ideal loading spot on the graphic display for an operator. The business need & technological challenge that Cyclopic has identified is to improve the stability of AMR in a warehouse setting. This is achieved through autonomous balancing, improving the current AMRs' speed and stability. The grant funding will be used to work with CAV-Lab, leading UK autonomous robotic research centre at the the University of Surrey. The digital simulation platform will demonstrate the benefits of the electric drive-system that will operate the AMR eg. increase in stability & load balance therefore establishing accuracy & speeding up the process within warehouse operation. The feasibility study will highlight the drive-system using state-of-the-art sensors and Lidar systems to produce an AMR that negotiates the factory floor, while the robot moves, keeping the load bed level throughout, protecting loads as the robot moves from station to station. The scalable drive-system can be manufactured economically ,efficiently and the project will provide a detailed study of an AMR that will be a game-changer for the warehouse & manufacturing industry. Providing a safer solution for an autonomous factory robot that adds value to production tasks and overcomes numerous technical barriers.

The project involves the development and production of a drive system that enhances and operates with a centreless wheel. This highly integrated system has many applications and will be used for an electric concept vehicle. This will enhance zero carbon emissions and produce a more affordable e-concept car. It will produce a zero-emissions vehicle that will have unique benefits:- Height adjusting wheel that can range from ground 0 point to highest point of ground clearance - 4x4\. As the steering, suspension etc is in the drive system unit the electric vehicle will not have an axle therefore the car can provide the highest point of ground clearance. The height adjustment aids mobility and disabled users. easy-load for the boot etc. The electric centreless wheels provide unique vehicle design and improved aerodynamics. The electric drive system is very suited for SMART/Autonomous vehicles. The 4 wheel drive-systems will operate the E-Concept vehicle and provide manoeuvrability that produces 360 degree wheel function which provides parallel parking. Ideal for parking in small spaces creating possibility for space-saving parking zones - eg. beneficial for urban/city living. Due to road-reading technology now available the drive-system, operating the centreless wheels, can adjust height whilst in motion therefore providing a vehicle levelling at all times. Benefits include possibility of a ditch-safety system as the vehicle can lower to 0 ground position, this would be a beneficial feature for autonomous vehicles also. 0 ground position is an excellent position for induction charging. Therefore this gives the possibility of home-charging and more effective charging points in urban/city zone. Huge Market potential significant UK and overseas market for this product. EV manufacturing is 3rd biggest market. 11 key players including Volkswagen Group, Nissan Group & Jaguar Land Rover. EVs are currently sold in 60 countries, with most sales (1.65%) in developed countries including China. \>2 million EVs were sold in 2018\. Market Sizes: We estimate the total global addressable market to be £13.76B (2.1M EVs sold pa \* £32,000 estimated license value). Post-commercialisation, we expect to be able to capture 2% TAM within 5 years (£36M pa). This project meets Govt priorities Re:- electric cars and achieving zero carbon - the Grand Challenges contributing to becoming a world leader in shaping future mobility and tapping into revolutionary electric transport The UK Government has outlined its commitment to support EV production and R&D within ISCF which this project will help to address this.