A method and an apparatus for shaping of lawns and hedges into desired 3D patterns or shapes. The apparatus consists of a bStem and/or other computational device comprising storage, a motorized platform, and trimmer end effectors. The computational device instructs the end effectors to extend or retract as the platform moves along at a steady pace, thus producing a target pattern (e.g., a company logo) in a hedge, lawn, a wall or a ground-cover of any material suitable for such shaping. The apparatus may be configured to operate autonomously based on a pre-loaded pattern file. Software (e.g., such as BrainOS) may be used to provide real-time feedback to trimmers regarding the process and the results, and possibly to train the inverse model accordingly. The apparatus may learn to minimize predicted or current mismatches between the desired pattern and the one being produced. Users compete for the best designs.
