From corporate formal to one-of-one bespoke. Each collection addresses a distinct use case, environment, and budget range.
Every humanoid robot deployment exists within a specific context: a hotel lobby, a corporate headquarters, a warehouse floor, a private residence, a red-carpet event, or something entirely unique. One garment does not serve all of these settings. That is why MAISON ROBOTO organizes its work into six distinct collections, each designed around a specific environment, functional requirement, and budget range.
Executive Protocol is our corporate flagship line, built for boardrooms, reception areas, and client-facing deployments where the robot must convey authority and professionalism. Maison Privee addresses private and residential settings where warmth, approachability, and understated elegance matter more than formality. Hospitality Noir covers the full spectrum of hotel, restaurant, and service environments, from concierge desks to fine dining rooms.
Event Spectacle is designed for trade shows, product launches, galas, and any deployment where the robot is the center of attention. These pieces are dramatic, photographable, and built to withstand the intensity of event environments. Industrial Luxe brings considered aesthetics to warehouse, logistics, and manufacturing settings where garments must protect hardware while maintaining visual identity. Finally, Bespoke Singular is our one-of-one commission line for clients who need something that does not fit any existing category.
Prices range from EUR 5,500 for standard collection pieces to EUR 25,000 and above for fully bespoke commissions. Every garment is engineered for the specific robot platform it will dress, with patterns cut from our platform-specific dimensional archives to accommodate joint articulation, sensor windows, and thermal management requirements. These archives represent two years of accumulated institutional knowledge and proprietary construction methods refined through hundreds of iterative prototypes. Browse the collections below to find the right starting point for your deployment.
