...–Gough platform fulfills these challenges smartly. For this, the platform must be more accurate than the specified application accuracy level and thus proper calibration for a parallel robot is crucial. Forward kinematics-based calibration for these hexapod machines becomes unnecessarily complex...

... computational expenses of explicitly modeling spatially varying microstructures in a macroscopic part. To address this challenge and open the doors for the fracture-aware design of multiscale materials, we propose a data-driven framework that integrates a mechanistic reduced-order model (ROM) with a calibration...

...Jonathan Tammer Eweis-Labolle; Nicholas Oune; Ramin Bostanabad Multi-fidelity modeling and calibration are data fusion tasks that ubiquitously arise in engineering design. However, there is currently a lack of general techniques that can jointly fuse multiple data sets with varying fidelity levels...

.... Distinguishing the effects of the two sources of uncertainty can be challenging. For situations in which identifiability cannot be achieved using only a single response, we propose to improve identifiability by using multiple responses that share a mutual dependence on a common set of calibration parameters...

...Paul D. Arendt; Daniel W. Apley; Wei Chen To use predictive models in engineering design of physical systems, one should first quantify the model uncertainty via model updating techniques employing both simulation and experimental data. While calibration is often used to tune unknown calibration...

...Daniel Wehrwein; Zissimos P. Mourelatos Quality and performance are two important customer requirements in vehicle design. Driveline clunk negatively affects the perceived quality and must be minimized. This can be achieved using engine torque management, which is part of engine calibration. During...

... is an important step in robot calibration and in data driven automation. Although the scope of the paper is limited to geometric contacts involving points, lines, planar surfaces, cylindrical surfaces, and spherical surfaces, the techniques developed are general and can be applied to other geometric features...

...Marcel Verner; Fengfeng Xi; Chris Mechefske In this paper, a new method for optimal calibration of parallel kinematic machines (PKMs) is presented. The basis of the methodology is to exploit the least error sensitive regions in the workspace to yield optimal calibration. To do so, an error model...

...Yukio Takeda; Gang Shen; Hiroaki Funabashi For kinematic calibration of robots, we proposed using a low order Fourier series obtained by transforming the data for circular measurement paths. The errors of the realized paths were measured using a Double-Ball-Bar (DBB) system. Two nondimensional...

...Jay il Jeong; Dongsoo Kang; Young Man Cho; Jongwon Kim We present a new kinematic calibration algorithm for redundantly actuated parallel mechanisms, and illustrate the algorithm with a case study of a planar seven-element 2-degree-of-freedom (DOF) mechanism with three actuators. To calibrate...

...C. C. Iuras¸cu; F. C. Park, Mem. ASME We present a coordinate-invariant, differential geometric formulation of the kinematic calibration problem for a general class of mechanisms. The mechanisms considered may have multiple closed loops, be redundantly actuated, and include an arbitrary number...

...Uma Jayaram; Roglenda Repp A real-time integrated calibration system for virtual reality environments has been developed that enables accurate electromagnetic tracking of user motions. Electromagnetic tracking systems suffer degradation in accuracy due to the presence of metals and other...