International audienceThis paper presents a new methodology for the joint stiffness identification of industrial serial robots and as consequence for the evaluation of both translational and rotational displacements of the robot's end-effector subject to an external wrench (force and torque). In this paper, the robot's links are supposed to be quite stiffer than the actuated joints as it is usually the case with industrial serial robots. The robustness of the identification method and the sensitivity of the results to measurement errors and number of experimental tests are also analyzed. The Kuka KR240-2 robot is used as an illustrative example throughout the paper
International audienceThe paper presents a new stiffness modelling method for multi-chain parallel r...
The paper addresses a problem of the manipulator stiffness modeling, which is extremely important fo...
Due to their high flexibility, large workspace, and high repeatability, industrial robots are widely...
International audienceAlthough robots tend to be as competitive as CNC machines for some operations,...
This paper proposes two new methods for the identification of static stiffnesses of multi degrees of...
International audienceThe paper addresses a problem of the manipulator stiffness modeling, which is ...
The stiffness properties of industrial robots are very important for many industrial applications, s...
The thesis focuses on the enhancement of stiffness modeling of serial and parallel manipulators with...
International audienceThe paper focuses on the stiffness modeling of heavy industrial robots with gr...
Articulated robots are the most common industrial robots for their large workspace and flexibility. ...
International audienceThe paper focuses on the accuracy improvement of stiffness models for parallel...
International audienceThe paper focuses on the stiffness modeling of parallel manipulators composed ...
Abstract—This paper presents the enhanced stiffness modeling and analysis of robot manipulators, and...
International audienceThe paper focuses on the stiffness modeling of robotic manipulators with gravi...
As the application of industrial robots is limited by low stiffness that causes low precision, a joi...
International audienceThe paper presents a new stiffness modelling method for multi-chain parallel r...
The paper addresses a problem of the manipulator stiffness modeling, which is extremely important fo...
Due to their high flexibility, large workspace, and high repeatability, industrial robots are widely...
International audienceAlthough robots tend to be as competitive as CNC machines for some operations,...
This paper proposes two new methods for the identification of static stiffnesses of multi degrees of...
International audienceThe paper addresses a problem of the manipulator stiffness modeling, which is ...
The stiffness properties of industrial robots are very important for many industrial applications, s...
The thesis focuses on the enhancement of stiffness modeling of serial and parallel manipulators with...
International audienceThe paper focuses on the stiffness modeling of heavy industrial robots with gr...
Articulated robots are the most common industrial robots for their large workspace and flexibility. ...
International audienceThe paper focuses on the accuracy improvement of stiffness models for parallel...
International audienceThe paper focuses on the stiffness modeling of parallel manipulators composed ...
Abstract—This paper presents the enhanced stiffness modeling and analysis of robot manipulators, and...
International audienceThe paper focuses on the stiffness modeling of robotic manipulators with gravi...
As the application of industrial robots is limited by low stiffness that causes low precision, a joi...
International audienceThe paper presents a new stiffness modelling method for multi-chain parallel r...
The paper addresses a problem of the manipulator stiffness modeling, which is extremely important fo...
Due to their high flexibility, large workspace, and high repeatability, industrial robots are widely...