AutoWrap robotics: AI LED platform for automated vehicle treatment using humanoid robots

A computer-implemented method for autonomously performing adaptive vehicle lighting installation and servicing using at least one robotic platform, the method comprising:

• a. obtaining a three-dimensional digital model of a vehicle's interior and/or exterior surfaces and structures using a vision system, said obtaining occurring at diverse operational locations, including fixed facilities and mobile or on-site customer premises, said vision system dynamically compensating for variable ambient lighting conditions;
• b. processing said three-dimensional digital model via an AI control system to generate an installation and/or servicing plan for lighting components based on a desired lighting pattern or a diagnostic or repair task, said processing including dynamically adapting to environmental conditions of said operational locations;
• c. instructing said at least one robotic platform, via said AI control system, to autonomously transport itself and/or its associated mobile service unit to a specified vehicle location and manipulate and prepare said vehicle for lighting installation and/or servicing, including dynamically adapting its posture or position to access installation areas regardless of environmental constraints, and managing power supply from integrated or auxiliary sources for sustained operation;
• d. instructing said at least one robotic platform to autonomously install, repair, or replace said lighting components into said vehicle according to said installation and/or servicing plan, utilizing precision robotic manipulation and tactile feedback from specialized end-effectors with integrated active sensing, said specialized end-effectors being autonomously selected and maintained via a change and automated tool management mechanism;
• e. instructing said at least one robotic platform to autonomously route and connect associated wiring for said lighting components, and to interface with vehicle diagnostic systems for functional verification;
• and
• f. performing real-time quality control and corrective adjustments of said installation and/or servicing using robot-integrated sensors and said AI control system, said quality control findings automatically updating machine learning models for continuous improvement, thereby enabling completion of services within six hours or same-day completion through multi-robot or human-robot collaboration, with integrated error handling and remote troubleshooting capabilities, including autonomous recovery from unexpected obstructions or minor tool malfunctions.