Programming an industrial robot is complicated and costly. Currently around CHF 80’000 is needed just for programming and hardware integration. This results in more than 75% of industrial tasks being not automated. Additionally, due to the absence of standardization in the way robots are programmed, current solutions are inflexible and difficult to implement. Thus, programming requires strong expertise in robotics, which most employees do not have, despite working closely with or around robotic systems.
The LASA EPFL laboratory has pushed the boundaries of research in collaborative robotics and developed a framework that simplifies the control and programming of robotic tasks. The solution combines machine learning and advanced robotic controls to ensure the safe execution of the planned action, even in changing and uncertain environments. Not only is this crucial for the development of collaborative robot applications, but it also benefits industrial robotics by adding flexibility in the traditionally rigid robotic application implementation. At AICA, a spin-off of the LASA laboratory, we use this framework to generate dynamic robotic applications that can solve complex industrial tasks and are easily reprogrammable on site.
AICA is tasked with packaging and deploying the robotic control framework that is the outcome of the research undertaken at LASA. It has been awarded with an Innogrant support fund and successfully attained VentureKick stage 2.
Throughout the first period of the Innobooster project, AICA has successfully leveraged its solution to acquire a Proof of Concept project with an international manufacturer. The implementation is currently ongoing with testing performed at the innovation center of our industrial partner. Upon validation, the solution will be included in a new production line, where our robotic task learning approach and dynamic programming will be a central part of the manufacturing process.
To support its growth, and move from the Proof of Concept phase to industrial grade application, AICA is now seeking additional funding through a pre-seed round of CHF 500k to 1m.
Am Projekt beteiligte Personen
Letzte Aktualisierung dieser Projektdarstellung 28.04.2022