RealSwarms
RealSwarms turns autonomous robots into intelligent, decentralized swarms across air, land and sea.
Today, robotic fleets typically consist of individual autonomous systems rather than true swarms. They do not yet fully benefit from the principles of collective intelligence, where individual robots coordinate and adapt as part of a larger system.
Swarm intelligence offers a different approach. By distributing decision-making across the collective, robotic systems can become more scalable, robust and adaptable while remaining relatively simple at the level of the individual robot. These capabilities have significant potential in complex real-world environments, particularly in defence and security applications.
Our solution
We offer an ever-growing software library of patented swarm algorithms together with the SwarmBrick™, a self-contained computing unit that can be integrated into virtually any robotic platform (UAV, UGV…). Our solution provides ten-fold improvement potential in productivity and performance.
SwarmBrick™ enables sensor fusion, autonomous decision-making and communication with other members of the swarm. Together, robots can share information, coordinate their actions, and work autonomously towards a common objective without relying on centralized control.
Our demonstration swarm can already carry out search missions completely autonomously at the push of a button.
The science-based incubator VTT LaunchPad delivers VTT’s strategy to renew industries and society by spinning off companies built on VTT’s technologies. In the incubator, we bring VTT researchers and IPR together with the best business minds and investors out there.
What we are looking for
We are looking for funding and partners to take the next steps to shift the technology from research and development to market.
Meet our team
10+ years’ experience in R&D in various fields with strong commercial ambition and mindset. 5+ years’ experience in leading different research units from customer needs and challenges to inventions ending up to customer tailored solutions.
Experienced in autonomous systems, robotics, and distributed intelligence. Specializing in the design, implementation, and validation of decentralized swarm intelligence for autonomous multi-agent systems. Passionate about bridging the gap between world-class swarm intelligence research and the practical deployment of autonomous collaborative systems.
25+ years’ experience in transferring swarm algorithms from nature to artificial systems in industrial R&D. International expertise in modelling and leveraging self-organization in large populations of interacting autonomous agents.