Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Researchers detail new data in Robotic s. According to news reporting out of Padua,Italy,by NewsRx editors,research stated,"Robot positioning accuracy is a key factory when performing high-precis ion manufacturing tasks. To effectively improve the accuracy of a manipulator,o ften up to a value close to its repeatability,calibration plays a crucial role. " Financial support for this research came from Universit degli Studi di Padova. Our news journalists obtained a quote from the research from the University of P adua,"In the literature,various approaches to robot calibration have been prop osed,and they range considerably in the type of measurement system and identifi cation algorithm used. Our aim was to develop a novel step-by-step kinematic cal ibration procedure - where the parameters are subsequently estimated one at a ti me - that only uses 1D distance measurement data obtained through a draw-wire en coder. To pursue this objective,we derived an analytical approach to find,for each unknown parameter,a set of calibration points where the discrepancy betwee n the measured and predicted distances only depends on that unknown parameter. T his reduces the computational burden of the identification process while potenti ally improving its accuracy. Simulations and experimental tests were carried out on a 6 degrees-of-freedom robot arm: the results confirmed the validity of the proposed strategy."
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