Robotics fusion
The current robotics solutions at factories lack adaption capabilities. Robotics fusion is our vision of a highly automated and adaptive production system, where human work is still needed and valuable.
Our objective is to utilize robotics fusion technologies to achieve more efficient and productive production systems. In the future, robots do not have to be manually programmed, they learn from examples and have collaborative capabilities both with workers and other robots. The robots are tightly integrated into factory floor digital twins and adapt their operation based on changes in production, supply chain and in the digital twin.
The automation levels of existing processes will be re-imagined through AI, intelligent algorithms, software robotics and robotics process automation. In the future, the production system is a fusion of software intelligence, advanced data management and automation systems.
"Reboot increased our capacity in our product line with such an extent that we can transfer more production to Finland" says Heli Huhtala, the lead of Reboot at GE Healthcare Finland on their patient monitoring part production.
"Participating in the Reboot IoT Factory programme has been a great opportunity for us to develop ourselves and our business. In this programme, we were able to use Proof of Concept (POC) to implement and test an idea that has been talked about again and again in coffee table discussion. However, building and testing a device according to the idea would have taken a considerable amount of resources from a company our size. Thanks to Reboot IoT, not only were we able to develop and test our idea independently, but also got valuable real-life data on using the device from a partner company." – Oskari Hakaluoto, founder.
Robotics fusion focus areas
How do I get involved?
In order to get involved in our robotics fusion grand challenge, please contact us either directly or using our Fenix business case management tool. We are glad to tell you all about the available business opportunities.
Experience sharing
Hunting Data and Putting It to Work – Piloting Data Collection for Industrial IoT
Blog: Future Work with AI Foreman in Digital Factory
Blog: Towards Future Factories: Automatic Quality Control
Blog: Exploring the Challenges of Manufacturing with Learning Machine Vision
Blog: Predictive Maintenance Supports Autonomous Shipping
Blog: Taking Care of Employees’ Wellbeing and Preferences is the Key to Profitable Industry
Blog: Specific Characteristics Define Business-to-Business Supply Chains in the Manufacturing Industry
