Siemens Corporate Technology has recently awarded MAE graduate students PhD Fellowships through a research project 5G-enabled robotic adaptive repairing (PI: Guo, Co-PIs: Cuitino, Seskar, ad Zou). MAE student George Galkin has been selected as one of Three-four PhD students supported to work on this sustainable manufacturing project to repair high-value components such as shafts, pistons, blades, and molds. They will create a 5G-based robot repairing testbed to demonstrate an industry-vetted, transferable, and automatic robotic solution with much shorter latency from video sensing, data analytics, to remanufacturing. An adaptive multi-tool robot testbed will be developed to integrate laser scanning, laser melt deposition, and milling for fully automatic inspection, cleaning, deposition, machining, and metrology to replace the current manual and/or semi-automatic repair operation.