Moxi 2.0
Moxi 2.0 is Diligent Robotics' second-generation AI-powered mobile manipulation humanoid platform engineered specifically for healthcare and clinical environments. Built upon proprietary real-world deployment data from over 1.25 million deliveries across American hospitals, Moxi 2.0 integrates an upgraded 7-DoF compliant robotic arm, an omnidirectional holonomic base, and dual secure cargo compartments. Powered by the NVIDIA Jetson Thor computing architecture, the platform delivers 10× the onboard AI processing power of its predecessor. It autonomously navigates crowded hospital corridors, operates standard doors and elevators, transports laboratory specimens, and distributes pharmaceuticals without requiring infrastructure retrofits.
Quick Overview & Key Facts
Moxi 2.0 is a service_hospitality_robot system developed by Diligent Robotics in United States and launched in 2026. Starting price is estimated at Robotics-as-a-Service (RaaS) Enterprise Subscription (Est. $4,500 - $6,000 / month). It is currently ranked #22 in most-viewed service & hospitality robots on Origin of Bots. It supports Patient medication cassettes, blood and pathology specimen tubes, IV kits, PPE, surgical supplies. Operating battery runtime is rated at 12.0 hours continuous active shift operation. Primary applications include Central pharmacy medication dispatch, stat lab sample delivery, nurse supply runner, PPE restocking, floor-to-floor elevator courier.
What Can Moxi 2.0 Do?
Core operational tasks and activities demonstrated or performed by Moxi 2.0.
Real-World Applications of Moxi 2.0
Industries, working environments, and deployment suitability for Moxi 2.0.
Moxi 2.0 Capabilities
Inherent physical, perceptual, and cognitive abilities built into Moxi 2.0.
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Robot Specifications
Run Local AI Models
Plug & Play with OriginLink
Run local AI models with zero complex engineering. Plug and play right on your machine with an OpenAI-compatible endpoint.
⚠️Only helpful if you have a dedicated GPU (NVIDIA / AMD) or a Mac (Apple Silicon).
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Frequently Asked Questions
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Q1. What is Moxi 2.0, and what problem is it designed to solve?
Moxi 2.0 is Diligent Robotics’ next-generation hospital robot, intended to handle routine, non-patient-facing delivery tasks in clinical settings.
Q2. What are the main capabilities and key features of Moxi 2.0?
According to the company, it adds upgraded compute, a new AI architecture, improved sensors, redesigned storage, and refined handling for hospital workflows.
Q3. Who is Moxi 2.0 built for, and which industries can benefit from it?
Moxi 2.0 is built for hospital care teams, with applications centered on healthcare operations such as supply, lab, and medication delivery.
Q4. Is Moxi 2.0 a commercial product or still a research prototype?
It is a commercial product in rollout, not a lab prototype, though Diligent describes it as a new platform still being introduced to customers.
Q5. Is Moxi 2.0 currently available for purchase, and when is it expected to ship?
As of 2026, Diligent said it was taking orders from health systems and beginning rollouts, with shipping dependent on deployment and fulfillment.
Q6. How does Moxi 2.0 actually work in real-world environments?
It uses onboard AI, sensors, and navigation software to move through active hospital spaces and complete deliveries while adapting to dynamic conditions.
Q7. When was Moxi 2.0 announced or officially launched?
Diligent unveiled Moxi 2.0 in October 2025 and began rolling it out to U.S. health systems in August 2026.
Q8. How is Moxi 2.0 different from other robots in the same category?
Diligent says Moxi 2.0 combines hospital-specific fleet data with a new foundation model, aiming to improve autonomy and recovery in complex indoor environments.
Q9. Does Moxi 2.0 require additional development or customization after purchase?
It is designed for hospital deployment, but Diligent has indicated that setup, integration, and workflow alignment are part of customer implementation.
Q10. What is the future roadmap or planned upgrades for Moxi 2.0?
The company has announced plans to expand the platform’s autonomy, scale deployment across more hospitals, and continue refining its AI model from fleet data.
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