Hospital Intelligent Delivery Robot Solution

Core Industry Pain Points

• •Traditional manual delivery is inefficient and misaligned with medical workflows, hindering diagnostic and treatment efficiency.
• •Healthcare staff are burdened with excessive non-core delivery tasks, creating heavy reliance on human labor.
• •High risk of cross-infection; increased patient flow raises the probability of hospital-acquired infections.
• •High error rate in deliveries; critical items such as medications and specimens are prone to mistakes.
• •High labor costs and a significant shortage of nursing staff
• •Insufficient digitalization prevents traceability and quantitative management of the delivery process.

Solution Overview

Addressing logistics challenges in hospitals, we deliver a comprehensive suite of intelligent delivery robots. Our portfolio includes backpack-style, lift-type, autonomous mobile robots (AMRs), tow tractors, roller conveyors, and forklifts—precisely tailored for pharmaceutical delivery, specimen transport, meal distribution, linen collection, and medical waste disposal across diverse hospital scenarios. Core advantages include: 0 cost deployment, rapid remote unmanned setup (ready in 10 minutes), automatic elevator and door navigation, multi-robot intelligent scheduling, and full source-code openness for seamless integration with HIS/LIS/PACS systems. Achieve hospital-wide smart logistics transformation today.

Core Features

• ✓Full Product Range: Backpack (DD80/DD150/DD300), Lift (DL150/DL300/DL600), Crawler (DS150/DS300/DS600), Tow Tractor (D300T), Roller Conveyor (DC100), Forklift (DF1500/DFS-1500/DFC-1000), Delivery Robot (DAX2112)
• ✓0 cost deployment: No local server required; remote cloud deployment with 0 on-site monitoring.
• ✓Live in 10 minutes with remote VR virtual mapping: simple, one-click setup. Works on PAD, mobile, and PC.
• ✓Auto elevator navigation: Autonomous elevator use, automatic door and rolling gate passage, turnstile crossing, and multi-floor, cross-zone operation.
• ✓L4 Autonomous Driving Algorithm: Proprietary AX-Mind algorithm with LiDAR SLAM + AI deep learning multi-sensor perception fusion
• ✓Multi-robot Intelligent Scheduling: V2X Near-field Scheduling + Cloud-based MFQ Scheduling, supporting mixed-task execution across diverse robot types.
• ✓Open at the source code level: API/SDK access at the chassis level, enabling integration with HIS, LIS, and PACS systems.
• ✓End-to-Device Integration: Control robots from multiple devices—including phones, tablets, and PCs—with real-time remote monitoring via the cloud.
• ✓Smart Charging Strategy: Auto-Recharge with 8-10 hours of continuous operation followed by 1.1-5.5 hours of charging.
• ✓Easy human-machine interaction: 10.1-inch HD touch screen with multi-modal interaction via touch and voice, plus over 10 types of light alerts.
• ✓Zero-Contact Delivery: Fully automated from start to finish, minimizing the risk of cross-contamination.
• ✓Centimeter-level obstacle avoidance: Multi-sensor fusion ensures safe operation in complex hospital environments.

Tangible Results

• ★Reduce deployment cycles from months to 10 minutes, significantly lowering the barrier to adoption.
• ★Deploy with 0 costs—no server hardware investment required. A lightweight asset model.
• ★One person can handle system deployment, device binding, and parameter tuning end-to-end.
• ★7×24-hour unmanned smart delivery, replacing traditional manual handling
• ★Real-time logistics data monitoring gives managers a clear, at-a-glance view of the entire unmanned logistics operation.
• ★Reduced exception response time by 90%, ensuring continuous and stable delivery operations.
• ★Reduce labor costs by 60%–80%, saving $8–$12K per position annually
• ★Delivery time reduced to 1/3, precisely aligned with medical workflows.
• ★Zero-contact delivery reduces the risk of hospital-acquired infections and enhances patient peace of mind.
• ★Delivery accuracy improved to 99.9%, eliminating medication and specimen misassignment.

Industry Solutions