Recently, the Shangri-La Traders Hotel at Shanghai Hongqiao Airport has introduced the XMAN-R1 humanoid service robot, developed by Keenon Robotics – a renowned global provider of general-purpose and special-purpose humanoid robots. This deployment marks the first-ever implementation of a collaborative operational model between “General-Purpose + Special-Purpose” robots, setting a new standard for smart scenarios.
At the hotel, the integrated robot matrix by Keenon Robotics is revolutionizing operations. The humanoid XMAN-R1 robot is welcoming guests at the front desk, engaging in natural language interactions, answering questions, and offering welcome gifts. Special-purpose robots like W3 for deliveries, S100 for luggage transport, C40 for cleaning, and T10 and T3 for food delivery also play vital roles in ensuring seamless hotel operations.
The XMAN-R1 robot embodies Keenon’s years of experience and is designed with a focus on being role-oriented, user-friendly, and safety-first. Keenon leverages its self-developed KOM2.0 Vision-Language-Action (VLA) model to drive the robot’s general intelligence, empowering it to adapt seamlessly to various service industry scenarios. Additionally, the KEENON ProS model provides specialized training to equip the robots with the necessary professional skills for their roles.
Keenon Robotics, a pioneer with 15 years of experience in service robotics, has successfully deployed over 100,000 embodied robot solutions across 60 countries. Their strategic integration of general-purpose and special-purpose robots aims to enhance operational efficiency in commercial applications. By deconstructing service scenarios into modular roles, Keenon streamlines the deployment of humanoid robots, accelerating their adoption in various industries.
The successful deployment of Keenon’s robot portfolio at the Shangri-La Traders Hotel not only showcases their technological advancements but also highlights the practical benefits of embodied intelligence in enhancing operational quality and guest experiences in hotels. This collaboration model serves as a valuable reference point for the industry’s journey towards intelligent upgrades.
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