Robotics 2010
DOI: 10.2316/p.2010.703-056
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An Interactive 3D Sensor System and its Programming for Target Localizing in Robotics Applications

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Cited by 6 publications
(3 citation statements)
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“…The idea of external measurement device based interaction in robot programming is not new (Halme, Heikkilä, Torvikoski 1987;Hasegawa 1982;Manninen 1984;Pieskä et al 1988), but in the 1980s there was lack of feasible measurement devices, lack of computer power and industrial robot control systems were at that time not open enough for external programming. VTT has also recently been developing a method based on an interactive 3D sensor system for robotic applications (Heikkilä, Ahola, Viljamaa, Järviluoma 2010). In the European SME Robot project, a digital pen was developed to be used as a robot programming device (Pires, Godinho, Nilsson, Haage, & Meyer 2007).…”
Section: Figure 17 Comparison Of Robot Work Cell Calibration Methodsmentioning
confidence: 99%
“…The idea of external measurement device based interaction in robot programming is not new (Halme, Heikkilä, Torvikoski 1987;Hasegawa 1982;Manninen 1984;Pieskä et al 1988), but in the 1980s there was lack of feasible measurement devices, lack of computer power and industrial robot control systems were at that time not open enough for external programming. VTT has also recently been developing a method based on an interactive 3D sensor system for robotic applications (Heikkilä, Ahola, Viljamaa, Järviluoma 2010). In the European SME Robot project, a digital pen was developed to be used as a robot programming device (Pires, Godinho, Nilsson, Haage, & Meyer 2007).…”
Section: Figure 17 Comparison Of Robot Work Cell Calibration Methodsmentioning
confidence: 99%
“…Here the equations for fitting planar surfaces are presented and equations for fitting other surface types have been presented in [14]. The rotation correction ∆R is computed as a product of rotation matrices…”
Section: Verification Visionmentioning
confidence: 99%
“…The feasible values for target model parameters depend on the dynamics of the robot, stiffness of the environment and the characteristics of the contact task. Examples of derived impedance parameters for two target systems are [ A detailed description of designing robust impedance controller for the industrial robot arm is given in [14] and an analysis of the impedance controller's capability to fol-low inclined and curved surfaces while keeping the contact force in desired limits is given in [15].…”
Section: Compliant Motion Controlmentioning
confidence: 99%