Nowadays, the harsh industrial environment remains one of the vital challenges for an effective deployment ofwireless technologies in factories to promote the industrial upgrade. In this study, a complete solution is proposed forrobust radio communications in indoor factories. Herein,measurement setups are integrated with industrial mobilefacilities, e.g. an automated guided vehicle and a mobile robot. Calibration is advised for accurately revealing anindustrial radio environment. A hybrid sequential design strategy is used to enhance the efficiency of the measurementcampaign. This further leads to a surrogate modelling based radio environment map, whichfacilitates a holistic viewand evaluation of the radio quality of service over the target shop floor. In addition, an over-dimensioning heuristic isproposed to guarantee that every target location can be wirelessly covered by at least two access points (APs).Moreover, the smart switch mechanism dynamically powers on/off the over-dimensioned APs, so as to ensure fullcoverage even at the presence of physical disturbance. Theinvestigation on two real factories and the coverageprediction tool WHIPP further demonstrates the solution’s effectiveness. Eventually, arich outlook is drawn for theroadmap towards an artificially intelligent system for robust industrial wireless communications. Measurement-based wireless network planning, monitoring, and reconfiguration solution for robust radio communications in indoor factories.