Robot.com launches R-noid humanoid robot to tackle labor shortages in kitchens and warehouses

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Robot.com, formerly Kiwibot, has unveiled R-noid, a wheeled humanoid robot designed for workplace automation across food service, logistics, and healthcare. Powered by Physical Intelligence's vision-language-action AI model, the robot handles packaging, picking, and prep work. With fewer than 40 units deployed commercially and 70 percent autonomy at launch, the startup is betting on practical task-specific automation over general-purpose humanoids.

Robot.com Pivots to Workplace Automation With R-noid

Robot.com, the San Francisco startup formerly known as Kiwibot, has launched R-noid, a humanoid robot designed to address labor shortages across kitchens and warehouses

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. The wheeled humanoid robot represents a strategic pivot for the company, which spent years deploying delivery robots on college campuses and has now completed over two and a half million tasks with more than 500 robots in operation

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. CEO Felipe Chavez told Business Insider the shift has been nearly two years in development, describing workplace manipulation as the natural next step for a company already embedded in logistics and manufacturing environments

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Wheeled Humanoid Robot Design Prioritizes Stability Over Mobility

Source: Interesting Engineering

Source: Interesting Engineering

R-noid does not attempt to walk. Instead, it rides on a holonomic mobile base that allows omnidirectional movement in confined and dynamic environments without requiring facility modifications

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. The robot stands 5.5 feet tall, weighs approximately 90 kilograms, and features dual-arm manipulation with two 7-degree-of-freedom robotic arms capable of handling payloads up to 4 kilograms each

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. A 4-degree-of-freedom articulated torso extends its vertical working range from ground level to 6.2 feet, enabling it to reach shelves, conveyor lines, and packing stations commonly found in industrial facilities

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. This design joins a growing camp of robotics companies betting that wheels beat legs for practical workplace deployment, trading stair-climbing ability for stability, cost, and faster time to market .

Physical Intelligence Powers Manipulation Through Vision-Language-Action AI Model

The robot's dexterity comes from Physical Intelligence, one of the most closely watched AI labs in robotics . R-noid runs on Physical Intelligence's π0.7, a vision-language-action AI model that reads natural-language instructions, observes the scene, and produces the arm and hand movements to carry out tasks

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. The AI system combines visual perception with natural-language understanding, allowing the robot to interpret instructions, analyze its surroundings, and adapt to changing object positions, layouts, and workflows without requiring extensive task-specific programming

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. Chavez said the company has been developing custom models with Physical Intelligence since last year . A separate partnership with FieldAI provides the navigation and autonomy layer through Foundation Field Models, which enable autonomous mobility across different environments without relying on pre-mapped infrastructure

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Deployment Strategy Balances Autonomy With Teleoperation

Robot.com has commercially deployed fewer than 40 R-noids across about a dozen customers so far . The company offers the robot through a Robot-as-a-Service model, with deployment taking eight to twelve weeks from initial site assessment to autonomous operation

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. This process involves visiting a customer's facility, identifying tasks to automate, and collecting hours of robot data to fine-tune the model before on-site operation begins . Chavez said some tasks require collecting 50 hours of data before a robot is ready to operate independently, with teleoperation and remote support remaining key parts of the deployment strategy . The startup expects about 70 percent autonomy during initial rollouts, with remote operators able to intervene when the robot encounters unfamiliar situations or edge cases

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Targeting Five Solution Categories for Automating Repetitive Tasks

At launch, R-noid can perform 19 deployable tasks across five solution categories: Restaurant Assistant, Packer, Picker, Folder, and Host

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. Demonstrated applications include assembling cardboard boxes from flat blanks, packing products for shipment, transferring items from conveyor systems, handling plastic parts on production lines, warehouse order picking, kitchen support, and linen folding

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. One disclosed deployment is at Harbor Links Golf Course in New York, where an R-noid helps load food into delivery robots and supports staff with order packing . The near-term goal, Chavez said, is not to replace workers but to prepare businesses for robotics and improve worker satisfaction by offloading repetitive physical tasks .

NVIDIA Robotics Ecosystem Enables Simulation and On-Board Processing

R-noid is built on NVIDIA's robotics ecosystem, with on-board NVIDIA Jetson computing modules handling perception, planning, and control functions

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. The company uses NVIDIA Isaac Sim for simulation, validation, and testing before deployment, allowing robot behaviors to be evaluated in virtual environments before entering production facilities

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. The robot is powered by a battery system that provides approximately three hours of operation and supports continuous plug-in use for longer deployments

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. A modular end-effector architecture allows tools and grippers to be swapped for different applications

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Market Context and Commercial Viability

The launch comes as the broader humanoid market remains turbulent, with more than 150 companies chasing commercialization and buyer satisfaction rates as low as 23 percent in surveyed enterprise deployments . Robot.com is positioning R-noid as a practical, task-specific tool rather than a general-purpose humanoid, a distinction that may matter as the industry sorts the commercially viable from the venture-funded spectacle . Founded in 2017 as Kiwibot, the company rebranded in October 2025 and has raised funding from investors including Headline, Sodexo VC, and UC Berkeley SkyDeck Fund . The company will showcase R-noid at Automate 2026 in Chicago this week .

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