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.
Motion planning is a central topic in most of our research activities. In particular, motion planning is required to enable our robots to plan their behavior and adapt to changing conditions. To this end, a key research challenge is to describe the possible motions of the robot while taking into consideration the kinematic and dynamic constraints of the system.
ROBOTNOR researchers are continuously targeting new methods and algorithms for motion planning of complex mechatronic systems subject to constraints, such as holonomic and nonholonomic constraints, bounded control actions, and the conditions required to achieve desired forces and torques generated by the robot on its environment during contact operations.
To understand, simulate and design controllers for complex mechanical systems, it is necessary to have […]
It is not always possible to control inherently nonlinear systems by linear control methods throughout […]
SINTEF ICT has cooperated with the Norwegian oil & gas company Statoil since 2005 on […]
NTNU has recently established the Applied Underwater Robotics Laboratory (AUR lab). The lab is being used for applied research on subsea robotics.
The industrial robotics lab is an arena where the challenges of robot manipulation are tackled. […]
Launched in 2009, this project aims to develop the next generation robotic technology for Norwegian […]
Wheeko is an experimental platform which we developed to study snake robot locomotion across flat […]
The project focuses on path planning for unmanned aerial vehicles motivated by emerging applications such […]
Mobile robot manipulators (mobile robots with one or more attached manipulator arms) will be prevalent […]
P. Liljebäck, K. Y. Pettersen, Ø. Stavdahl, and J. T. Gravdahl, Snake Robots – Modelling, Mechatronics, and Control, ser. Advances in Industrial Control. Springer, 2012.
Lekkas, A.M. and Fossen, T.I. “A Time-Varying Lookahead Distance Guidance Law for Path Following”, Proc. IFAC MCMC’12, 19–21 September, Arenzano, Italy 2012.
A. Grancharova, E. I. Grøtli and T. A. Johansen, Distributed Path Planning for a UAV Communication Chain by Dual Decomposition, Proc. of the IFAC Workshop on Multivehicle Systems, pp. 43-48, 2012.