Fields of competence
ROBOTNOR represents a unique synergy of academic and industrial expertise which allows us to counsel and comprehend a wide variety of tasks and projects. Our fields of competence are numerous and diverse.
Launched in 2009, this project aims to develop the next generation robotic technology for Norwegian industry. The project spans five years and has a budget of 36. mill NOK. The project is led by SINTEF ICT Applied Cybernetics and has 8 partners: SINTEF , NTNU, Statoil, Hydro, Tronrud Engineering, Glen Dimplex Nordic, SbSeating (HÅG) and RobotNorge. Project manager is Dr. Svein P. Berge, SINTEF ICT.
To reach the goal, the project will
The project has 4 PhD candidate positions and these are connected to NTNU Department of Engineering Cybernetics and NTNU Department of Production and Quality Engineering.
The project focuses on 4 research areas: 3D object localization, synchronization of robot manipulators, autonomy and hybrid force/motion control. Technology has been developed within all these areas.
A number of concepts have been developed and are based on the developed technology: automated camera platform, grinding of carbon anodes, packing of chair parts in carbon boxes, learning in grasping.
The following videos features robot demonstrations developed as part of the project so far:
Machine vision is an essential part of most robotic system and is generally described as […]
Collision detection and avoidance are crucial components in any moving system that needs to interact […]
More information about our Dual Manipulation Lab will be added soon!
Grasping is an essential part of most modern production systems. ROBOTNOR is developing new grasping solutions aimed towards increased flexibility in production lines of tomorrow and significant savings in production costs.
These webpages have just been launched and will be continuously updated during the coming weeks. […]
Precision, productivity and perfection. Advanced algorithms and groundbreaking design paves the way for the modern manufacturing robots.
To understand, simulate and design controllers for complex mechanical systems, it is necessary to have […]
Motion planning is a central topic in most of our research activities. In particular, motion […]
Mainly aiming at automatic control systems within manufacturing and production, the integration of planning, scheduling, […]
Bestowing our machines with intelligence has been an ambitious goal for scientists since the birth […]
The robot learning laboratory is not confined to any specific robot system, but acts as […]
Often one sensor or one measurement principle can not capture all the information needed to […]