The identification and reconstruction of acoustic fields radiated by unknown structures isusually performed using either Sound Field Estimation (SFE) or Near-field Acoustic Holog-raphy (NAH) techniques. The latter turns out to be especially useful when data is onlyavailable close to the source, but information throughout the whole space is needed.Yet, the lack of amendable and efficient implementations of state-of-the-art solutions, aswell as the laborious and often lengthy deployment of acoustic measurements continue to besignificant obstacles to the practical application of such methods.The purpose of this work is to address both problems. First, a completely automated metrol-ogy setup is proposed, in which a robotic arm is used to gather extensive, yet accurate ge-ometric and acoustic data without any human intervention. The impact of the robot onacoustic pressure measurements has been cautiously estimated, and proved to remain negli-gible within a defined validity frequency range.The sound field prediction is then tackled using the Boundary Element Method (BEM), andimplemented using the FreeFEM++ BEM library. Numerically simulated measurements haveallowed us to assess the method accuracy, which matches theoretically expected results, androbustness against positioning inaccuracies, provided that the robot is carefully calibrated.The overall solution has been successfully tested using actual robotized measurements of anunknown loudspeaker, with a reconstruction error of less than 30 % on the previously definedvalidity frequency range