Azalea Robotics
Azalea Robotics, a Berkeley, California, start-up, builds ARC 1, a mobile robot that loads baggage into carts and containers on the ramp.
Founded in 2023 and backed by Y Combinator, it raised a 3.5 million US dollar seed round in April 2025, led by Zero Infinity Partners with Vantage Futures, an investor linked to an airport network. ARC 1 uses depth perception and robot learning to grasp bags of different shapes. Unveiled in January 2026 as rolling out in airports, it names none; its one contracted programme is a US defence aerial-ports project.
No verified deployments yet
Azalea Robotics is profiled in the companies register, but no deployment has been verified against published evidence. Records are added as evidence is reviewed and graded.
Products & Solutions
1 productARC 1 (Autonomous Ramp Cobot 1)
A mobile, fully autonomous baggage manipulator robot designed for airport bag rooms. ARC 1 uses suction gripper technology and computer vision to pick, scan, and place passenger baggage onto bag carts, ULDs, and containers.
Airport baggage handling is labor-intensive, injury-prone, and relies on aging manual processes, contributing to delays, mishandled bags, and high operational cost. ARC 1 aims to automate the manipulation and loading of irregular passenger baggage, a task that warehouse robots cannot perform due to the variability of bag shapes, weights, and materials.
- Fully mobile, no fixed infrastructure or retrofitting required
- Vision-guided suction gripper for handling a wide variety of bag types
- Loads both ULDs and narrow-body bag carts
- Real-time bag tracking and location record per lift
6 more features
- BSM (Baggage Source Message) interoperability for fleet management
- Barcode and tag reading with real-time validation to reduce misloads
- Cage-free collaborative motion with e-stops for safe ramp co-operation
- Deployable same day as delivery
- Scalable deployment without fixed CapEx
- 24/7 continuous operations
Technical specifications (7)
- Six-axis arm mounted on wheeled mobile base
- Suction-based end effector (primary grip method)
- Computer vision for bag comprehension, grasping point selection, and placement planning
- Collision-free motion planning using trajectory optimization
- Physical reasoning and learning-based placement planning including 3D bin-packing
- BSM interoperability for baggage tracking integration
- Operates indoors in airport bag rooms; tarmac and ramp operations on longer-term roadmap
- UR 20 certified components for autonomous robotic safety standards (per NCMS documentation of REACH variant)
Register notes
Notes held in the Aerostack register. Aerostack has not independently verified them.
Azalea Robotics is automating the most physically demanding and injury-prone aspect of airport ground operations, the lifting and transfer of checked bags between conveyor belts and ground handling vehicles.
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The $20B+ global baggage handling market is structurally under-automated despite decades of robotics advancement, due to the variable weight, shape, and fragility of bags.
Millard's NASA/Google X background in manipulation of non-rigid objects is directly applicable.
Y Combinator and Vantage Group backing provides both venture credibility and strategic airport infrastructure access.
Profile data from the Aerostack companies register; deployment records from the verified register. Evidence grades: T1 first-party confirmation, T2 credible reporting. See Our approach for how records are graded.