KEENON Robotics Unveils G2 Guiding Robot for Hospitality Navigation

Hospitality Robots Gain Traction

Service hospitality robots address the challenge of efficient guest guidance and interaction in crowded indoor spaces like hotels and airports. KEENON Robotics has introduced the G2, a wheeled guiding robot designed for multilingual reception, guided navigation, and advertisement broadcast in such environments. Demonstrations highlight its autonomous operation in real-world settings, including hotels, restaurants, and museums.

Standing Out in Service

The G2 differentiates through full-body coordination for natural interactions, real-time imitation fidelity in guiding paths, high interaction naturalness via voice and screens, and teleoperation capability for assisted service. These enable seamless crowd avoidance and precise delivery of information without constant human oversight. Keenon G2 prioritizes teleoperated guidance to enhance human-centric hospitality flows.

Navigation Pipeline Explained

Human or app inputs initiate motion via the Peanut App or touchscreen, processed through AI models using LiDAR, machine vision, depth vision, sonar, infrared, and contact sensors for SLAM navigation. This leads to joint actuation with balance correction, intelligent obstacle avoidance, and crowd management. The Linux-based firmware ensures reliable path planning and autonomous recharging.

Hotel Deployment Spotlight

In a busy hotel lobby, the G2 autonomously leads guests to rooms or facilities, broadcasting multilingual directions on its dual 21.5-inch screens while avoiding crowds and obstacles. It supports remote inspection via teleoperation for staff, reducing front-desk workload during peak hours. Patrol modes add security by monitoring areas and alerting via app integration.

Specs Enable Reliability

Designed dimensions of 60 x 50 x 145 cm and 70 kg weight allow navigation through 80 cm passages in indoor settings. Speeds up to 1.0 m/s (standard 0.9 m/s) support efficient movement, with 5-8 year battery endurance for continuous shifts. Safety features like emergency stop and contact sensors minimize risks in human-centric spaces.