[ Case Study ]
Dodo-X
Autonomous Floor Navigation
A complete hardware-software integration built on ROS2 Humble, Raspberry Pi 5, and OAK-D spatial AI.
Dodo-X is designed for hospital corridors, hotel floors, and warehouse environments. It maps its surroundings in real time, localizes itself, and navigates autonomously — all without cloud connectivity.
[ Visual Reference ]
Every Angle
Front-facing with OAK-D camera and display screen showing live delivery status.
[ Hardware ]
Under the Hood
[ Capabilities ]
What It Does
Autonomous Navigation
Full Nav2 stack with SLAM mapping, AMCL localization, and real-time obstacle avoidance in dynamic environments.
Spatial AI Perception
OAK-D camera provides depth estimation and object detection to identify floors, obstacles, and delivery targets.
Multi-Floor Delivery
3-tier shelf arm system designed for hospital, hotel, and warehouse tray and parcel delivery operations.
ROS2 Architecture
Fully modular ROS2 node graph. Each subsystem — perception, navigation, UI — runs as an independent node.
Onboard Display
Integrated touch display showing delivery status, order queue, and live system diagnostics.
Edge Computing
All processing runs locally on-device. No cloud dependency. Works in offline environments.
[ Roadmap ]
Development Timeline
Concept & Architecture
Hardware selection, ROS2 system design, mechanical CAD.
Chassis & Electronics
3D printing, motor controller wiring, PCB layout.
Navigation Stack
SLAM mapping, Nav2 integration, obstacle avoidance tuning.
Perception & AI
OAK-D integration, floor detection, delivery target recognition.
Production & Deploy
Endurance testing, UI polish, first client deployment.
[ Interested? ]
Want Dodo-X in Your Facility?
Get in touch to discuss deployment, customization, or partnership opportunities.