The paper describes a skiing robot that is capable of skiing autonomously on a ski slope. The robot uses carving skiing technique. Based on a complex sensory system it is capable of autonomously navigating on the ski slope, avoiding obstacles, and maintaining a stable position during skiing on an unknown ski slope. The robot was tested using simulation in a virtual reality environment as well as on a ski slope.

This paper deals with the stability of null-space velocity control algorithms in extended operational space for redundant robots. We compare the performance of the control algorithm based on the minimal null-space projection and generalized-inverse-based projection into the Jacobian null-space. We show how the null-space projection affects the performance of the null-space tracking algorithm. The results are verified with the simulation and real implementation on a redundant mobile robot composed of 3 degrees of freedom (DOFs) mobile platform and 7-DOF robot arm.

The paper presents an algorithm for real-time motion control of a mobile manipulator in unstructured environments. The mobile manipulator consists of a velocity controlled mobile platform and a torque controlled manipulator. Therefore, a combination of torque and velocity control is used. For the obstacle avoidance two different principles are used: virtual repulsive velocity and action-reaction principle. The proposed control method has been verified on real system, composed of a mobile platform and a four DOFs manipulator arms. The results have been compared to the manipulator with a fixed base.