Keenon Robotics offers autonomous mobile robots that transport goods and perform service tasks inside hotels, restaurants, and warehouses. The robots use lidar‑based SLAM and AI‑driven path planning, integrate via open REST/GraphQL APIs with existing management systems, and provide up to 30 kg payloads with eight‑hour battery life and autonomous docking. A cloud‑based fleet dashboard delivers real‑time telemetry, utilization analytics, and predictive maintenance.
Funding
Funding not disclosed
Founders
Product
Problem
Hospitality venues and logistics facilities rely on manual labor for intra‑site material transport and guest service tasks, leading to high labor costs, inconsistent service speed, and limited scalability during peak periods.
Solution
Keenon Robotics provides autonomous mobile robots (AMRs) that navigate indoor environments using lidar‑based SLAM, AI‑optimized path planning, and dynamic obstacle avoidance. The robots connect to existing warehouse‑management or property‑management systems via RESTful APIs, allowing real‑time task dispatch and status updates. A modular chassis supports payloads up to 30 kg and includes a battery management system that delivers eight‑plus hours of operation with autonomous docking for self‑charging. The cloud‑hosted fleet‑management console aggregates telemetry, utilization metrics, and predictive‑maintenance alerts, enabling operators to monitor performance and schedule service without downtime. By automating repetitive delivery and support functions, the solution frees human staff to focus on higher‑value, customer‑facing activities, improving throughput and reducing operational expenses.
Target Audience
Primary customers are hotel and resort operators, restaurant chains, and warehouse or fulfillment center managers seeking to automate intra‑facility material handling and guest service workflows.
Features
- Lidar and vision sensor fusion for centimeter‑level localization and dynamic obstacle avoidance in crowded spaces
- AI‑driven task scheduler that optimizes routes based on real‑time traffic and priority levels
- Open API layer (REST/GraphQL) for seamless integration with WMS, POS, and PMS platforms
- Modular payload bay with interchangeable trays, lockers, and temperature‑controlled compartments
- Battery management system with auto‑dock charging and health monitoring for up to 8 hours continuous operation
- Cloud‑based fleet dashboard offering live map view, utilization analytics, and remote firmware updates
- Built‑in safety suite: emergency stop, bumper sensors, and compliance with ISO 3691‑4 standards
- Edge‑compute node on each robot for on‑device inference, reducing latency for navigation decisions