Commercial model
Pricing not public
Not available for consumer purchase; operates as part of Coco delivery platform. That usually means the final commercial package depends on deployment scope, services, or negotiated terms.
Robot dossier
Coco 2
Release
Feb 26, 2026
Price
Price TBA
Connectivity
2
Status
Active
Battery
32 km (20 mi) range per charge
Speed
21 km/h (13 mph)
Commercial
Active
Coco 2
Coco 2 is the next-generation fully autonomous delivery robot from Coco Robotics, a Venice Beach–based startup founded at UCLA in 2020. Unlike its predecessor which relied on remote human drivers, Coco 2 operates with full autonomy using end-to-end neural networks trained on millions of real-world city miles. The robot navigates sidewalks, bike lanes, and roads where permitted, reducing delivery times by up to 50% compared to the prior generation. Built around NVIDIA Jetson Orin NX edge computing and solid-state LiDAR, Coco 2 reaches speeds up to 21 km/h (13 mph) with a 32 km range per charge. It features a multi-compartment cargo area that fits up to four 18-inch pizza boxes or six separate customer orders, a 360-degree turn-in-place design, and a swappable battery. The robot is fully submersible for flood conditions and compatible with snow tires for winter operation. Coco powers deliveries through Uber Eats, DoorDash, and Wolt, serving over 3,000 merchants across US cities including Los Angeles, Chicago, Miami, and Jersey City, as well as Helsinki, Finland. The company plans to scale to thousands of robots globally through 2026 with expansion into Europe and Asia.
Listed price
Price TBA
Not available for consumer purchase; operates as part of Coco delivery platform
Release window
Feb 26, 2026
Current status
Active
Coco Robotics
Last verified
Apr 7, 2026
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Technical overview
Core specifications and system stack
A fast read on the mechanical profile, sensing package, and platform integrations behind Coco 2.
Technical Specifications
Height
Not disclosed
Weight
Not disclosed
Battery Life
32 km (20 mi) range per charge
Charging Time
Not disclosed (swappable battery)
Max Speed
21 km/h (13 mph)
Operational profile
How this robot is configured
Capabilities
9
Connectivity
2
Key capabilities
Fully Autonomous Navigation (no remote human driver)Sidewalk, Bike Lane, and Road NavigationMulti-Compartment Delivery (up to 6 orders per trip)All-Weather Operation (submersible, snow tire compatible)30% Grade (17°) Hill Climbing360-Degree Turn-in-PlaceSwappable BatteryQuick Swappable Tires
Ecosystem fit
Uber EatsDoorDashWoltCoco App
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About the Coco 2
4Sensors2Protocols9Capabilities
The Coco 2 is a Commercial robot built by Coco Robotics. Coco 2 is the next-generation fully autonomous delivery robot from Coco Robotics, a Venice Beach–based startup founded at UCLA in 2020. Unlike its predecessor which relied on remote human drivers, Coco 2 operates with full autonomy using end-to-end neural networks trained on millions of real-world city miles. The robot navigates sidewalks, bike lanes, and roads where permitted, reducing delivery times by up to 50% compared to the prior generation. Built around NVIDIA Jetson Orin NX edge computing and solid-state LiDAR, Coco 2 reaches speeds up to 21 km/h (13 mph) with a 32 km range per charge. It features a multi-compartment cargo area that fits up to four 18-inch pizza boxes or six separate customer orders, a 360-degree turn-in-place design, and a swappable battery. The robot is fully submersible for flood conditions and compatible with snow tires for winter operation. Coco powers deliveries through Uber Eats, DoorDash, and Wolt, serving over 3,000 merchants across US cities including Los Angeles, Chicago, Miami, and Jersey City, as well as Helsinki, Finland. The company plans to scale to thousands of robots globally through 2026 with expansion into Europe and Asia.
Pricing has not been publicly disclosed. See all Coco Robotics robots on the Coco Robotics page.
Spec Breakdown
Detailed specifications for the Coco 2
Battery Life
32 km (20 mi) range per chargeWith a battery life of 32 km (20 mi) range per charge, the Coco 2 can operate for sustained periods before requiring a recharge. Battery life is measured under typical operating conditions and may vary based on workload intensity and environmental factors.
Maximum Speed
21 km/h (13 mph)A top speed of 21 km/h (13 mph) is calibrated for the robot's primary operating environment and safety requirements.
The Coco 2 uses End-to-end neural networks on NVIDIA Jetson Orin NX; trained via NVIDIA Omniverse, Isaac Sim, and Cosmos synthetic data pipelines as its intelligence backbone. This AI platform powers the robot's decision-making, perception processing, and autonomous behavior. The sophistication of the AI stack directly impacts how well the robot handles unexpected situations and adapts to new environments.
Coco 2 Sensor Suite
The Coco 2 integrates 4 sensor types, forming the perceptual foundation that enables autonomous operation.
This sensor configuration enables the Coco 2 to perceive its environment and operate autonomously in its intended use cases. Multiple sensor modalities provide redundancy and more robust perception than any single sensor type alone.
Explore sensor technologies: components glossary · full components directory
Coco 2 Use Cases & Applications
Commercial robots handle tasks in business environments — delivering food in restaurants, guiding visitors in hotels, transporting supplies in hospitals, and moving inventory in warehouses. Their value is measured in operational efficiency, labor cost savings, and improved service consistency.
Capabilities That Enable Real-World Use
The Coco 2 offers 9 distinct capabilities, each contributing to the robot's practical utility.
Fully Autonomous Navigation (no remote human driver)
Sidewalk, Bike Lane, and Road Navigation
Multi-Compartment Delivery (up to 6 orders per trip)
All-Weather Operation (submersible, snow tire compatible)
30% Grade (17°) Hill Climbing
360-Degree Turn-in-Place
Swappable Battery
Quick Swappable Tires
Real-Time City Map Intelligence
These capabilities work together with the robot's 4 onboard sensor types and End-to-end neural networks on NVIDIA Jetson Orin NX; trained via NVIDIA Omniverse, Isaac Sim, and Cosmos synthetic data pipelines AI platform to deliver practical, real-world performance.
Ecosystem Integration
The Coco 2 integrates with the following platforms and ecosystems, extending its utility beyond standalone operation.
Uber Eats
DoorDash
Wolt
Coco App
This ecosystem compatibility enables the Coco 2 to work as part of a broader automation setup rather than operating in isolation.
Coco 2 Capabilities
9
Capabilities
4
Sensor Types
AI
End-to-end neural networks o…
Fully Autonomous Navigation (no remote human driver)
Sidewalk, Bike Lane, and Road Navigation
Multi-Compartment Delivery (up to 6 orders per trip)
All-Weather Operation (submersible, snow tire compatible)
30% Grade (17°) Hill Climbing
360-Degree Turn-in-Place
Swappable Battery
Quick Swappable Tires
Real-Time City Map Intelligence
Connectivity & Integration
How the Coco 2 communicates with your network, smart home devices, cloud services, and companion apps.
Network & Communication Protocols
Network protocols for device communication — enabling the Coco 2 to participate in various networking scenarios.
Coco 2 Technology Stack Overview
The Coco 2 by Coco Robotics integrates 7 distinct technology components across sensing, connectivity, intelligence, and interaction layers. The physical platform features a top speed of 21 km/h (13 mph), providing the foundation on which this technology stack operates.
Perception — 4 Sensor Types
The perception layer is built on Solid-State LiDAR, Cameras, GPS, IMU. These work in concert to give the robot a detailed understanding of its operating environment. This multi-sensor approach provides redundancy and enables the robot to function reliably even when individual sensors encounter challenging conditions such as low light, reflective surfaces, or cluttered spaces.
Connectivity — 2 Protocols
Intelligence — End-to-end neural networks on NVIDIA Jetson Orin NX; trained via NVIDIA Omniverse, Isaac Sim, and Cosmos synthetic data pipelines
End-to-end neural networks on NVIDIA Jetson Orin NX; trained via NVIDIA Omniverse, Isaac Sim, and Cosmos synthetic data pipelines serves as the computational brain, processing sensor data, making navigation decisions, and orchestrating the robot's autonomous behaviors. The quality of this AI platform directly influences how well the robot handles novel situations, adapts to changes in its environment, and improves its performance over time through learning.
Who Should Consider the Coco 2?
Target Audience
Commercial robots are acquired by businesses including restaurants, hotels, hospitals, retail stores, and logistics facilities. Purchasing decisions typically involve operations managers and IT departments evaluating ROI against human labor costs.
Key Considerations
Reliability and uptime, navigation in crowded dynamic environments, payload capacity, integration with business systems (POS, inventory management), ease of deployment and maintenance, and total cost of ownership (including service contracts) are the primary factors.
Pricing
Coco 2 does not currently have publicly listed pricing. Contact Coco Robotics directly for quotes and availability information.
Availability
ActiveThe Coco 2 is in active commercial production and currently sold by Coco Robotics. Check the manufacturer's website or authorized retailers for the latest stock and ordering information.
Coco 2: Strengths & Trade-offs
Engineering compromises and where this commercial robot excels
What the Coco 2 does well
Solid sensor coverage
The Coco 2 integrates 4 sensor types, providing good perceptual coverage for its intended applications. This sensor complement covers the essential modalities needed for effective commercial operation while keeping complexity manageable.
Broad capability set
With 9 distinct capabilities, the Coco 2 is designed as a versatile platform rather than a single-task device. This breadth means the robot can handle varied scenarios and workflows, reducing the need for multiple specialized robots and increasing its utility across different situations.
Strong mobility performance
A top speed of 21 km/h (13 mph) provides the Coco 2 with the agility to cover ground efficiently. This is particularly valuable for applications that require rapid response, large-area coverage, or keeping pace with human movement in shared environments.
What to consider carefully
Limited battery runtime
A battery life of 32 km (20 mi) range per charge means shorter operational windows between charges. For applications requiring continuous or extended operation, this may necessitate scheduling around charge cycles or deploying multiple units in rotation. Evaluate whether the runtime meets your minimum session requirements before committing.
Undisclosed pricing
Coco Robotics has not published a public price for the Coco 2. While common for enterprise-class robotics, the absence of transparent pricing can complicate budgeting and comparison shopping. Prospective buyers will need to engage directly with the manufacturer for quotes, which may vary by configuration and volume.
Note: This strengths and trade-offs assessment is based on the Coco 2's documented specifications as tracked in the ui44 database. Real-world performance depends on deployment conditions, firmware maturity, and environmental factors. For the most current information, check the Coco Robotics manufacturer page or visit the official product page. Use the comparison tool to evaluate these trade-offs against competing robots in the same category.
How Commercial Robot Technology Works
Understanding the engineering behind this category
Commercial robots operate in the demanding intersection of technology and business operations. From restaurant servers to warehouse movers, these robots must perform reliably in dynamic, crowded environments while delivering measurable return on investment. The technology behind commercial robots emphasizes reliability, integration with business systems, and graceful handling of the unpredictable situations that characterize human-occupied commercial spaces.
Navigation & Mobility
Commercial robots navigate environments that are significantly more challenging than typical homes — crowded restaurant floors, busy hotel lobbies, and dense warehouse aisles all present unique navigation challenges. These robots typically use LiDAR combined with depth cameras for robust obstacle detection, with special attention to detecting low-height obstacles (children, pets, dropped items) and moving obstacles (people walking unpredictably). Commercial-grade navigation includes fleet coordination — multiple robots sharing maps and position data to avoid congestion and optimize collective efficiency. Elevator integration allows robots to serve multiple floors autonomously.
The Role of AI
AI in commercial robots focuses on operational efficiency and customer interaction. Route optimization minimizes delivery times in restaurants. Task prioritization ensures urgent orders are handled first. Customer-facing AI must handle natural language interaction in noisy environments, provide useful information, and maintain a professional and brand-appropriate demeanor. Back-end AI integrates with business systems — restaurant POS (Point of Sale), hotel PMS (Property Management System), warehouse WMS (Warehouse Management System) — to receive tasks and report completions automatically. Predictive AI anticipates demand patterns, pre-positioning robots where they will be needed based on historical data.
Sensor Fusion & Perception
Commercial robots combine navigation sensors (LiDAR, cameras, ultrasonic) with application-specific sensors. Restaurant delivery robots use weight sensors to confirm payload presence and tilt sensors to maintain tray stability. Warehouse robots use barcode or RFID readers for inventory tracking. Hotel robots may include temperature sensors for room-service food. All commercial robots share the need for robust human detection — they must navigate safely around unpredictable human movement while maintaining efficient operation. Edge-case handling is critical: a restaurant robot must correctly respond to a child running into its path, a guest stepping backward without looking, or a server carrying a full tray through a narrow aisle.
Power & Battery Management
Commercial operations demand high uptime, making power management a business-critical concern. Robots serving during peak hours cannot afford lengthy charging breaks. Solutions include fast-charging docks positioned at strategic locations, hot-swappable battery packs for zero-downtime operation, and intelligent charging schedules that top up during naturally low-demand periods. Fleet management systems monitor battery levels across all robots and redistribute tasks to ensure no single robot runs critically low during service. Power consumption monitoring also feeds into TCO (Total Cost of Ownership) calculations that businesses use to evaluate robot deployment ROI.
Safety by Design
Commercial robots operate in regulated business environments with specific safety requirements. Food-handling robots must meet hygiene standards. Robots in public spaces must comply with accessibility requirements, avoiding blocking wheelchair paths or emergency exits. Speed limits are typically set below walking pace in pedestrian areas. Visual and audio signals indicate the robot's presence and intent — lights, gentle sounds, or voice announcements warn nearby people. Payload security ensures items being transported cannot fall. In warehouse environments, safety zones around humans trigger automatic speed reduction or stopping. Integration with building fire alarm and evacuation systems ensures robots do not obstruct emergency procedures.
What's Next for Commercial Robots
Commercial robotics is moving toward greater specialization and deeper business system integration. Rather than general-purpose commercial platforms, expect more robots designed specifically for restaurant table service, hotel room delivery, warehouse aisle picking, or retail shelf scanning. Fleet orchestration — coordinating dozens of robots across a large facility — will become more sophisticated. The business model is also evolving, with Robotics-as-a-Service (RaaS) subscriptions replacing upfront purchases, lowering the barrier to adoption for small and medium businesses.
The Coco 2 by Coco Robotics incorporates many of these technology pillars. For a detailed look at the specific sensors and components used in the Coco 2, see the sensor analysis and connectivity sections above, or browse the complete components glossary for explanations of every technology used across the robotics industry.
Coco 2 in the Commercial Market
How this robot compares in the commercial landscape
Coco Robotics has not publicly disclosed pricing for the Coco 2, which is typical for enterprise-focused robotics platforms that offer customized solutions and direct-sales relationships.
The Coco 2's 4 sensor types provide solid perceptual coverage for its intended use cases. This mid-range sensor suite balances cost with capability, covering the essential modalities needed for commercial applications.
Being currently available for purchase gives the Coco 2 a practical advantage over competitors still in development or prototype stages. Buyers can evaluate the actual product rather than relying on spec-sheet promises that may change before release.
Head-to-Head Comparisons
Side-by-side specs, capability overlap analysis, and key differentiators.
For the full picture of Coco Robotics's portfolio and market strategy, visit the Coco Robotics manufacturer page.
Deployment Readiness and Procurement Signals for Coco 2
What the public profile tells you, and what still needs direct vendor confirmation
From a buying and rollout perspective, the Coco 2 should be read as a commercial platform aimed at service operations that need predictable task throughput. ui44 currently tracks 9 capability signals, 4 sensor inputs, and a last verification date of 2026-04-07. That mix gives buyers a useful first-pass picture, but it is still only the public layer of due diligence, especially when procurement, uptime, and support commitments are decided directly with Coco Robotics.
Integration posture
2 connectivity options
The profile lists Cellular, Coco App, plus End-to-end neural networks on NVIDIA Jetson Orin NX; trained via NVIDIA Omniverse, Isaac Sim, and Cosmos synthetic data pipelines as the AI stack. That is enough to infer the basic network posture, but buyers should still confirm APIs, fleet management, and workflow integration details. ui44 currently tracks 4 declared compatibility links.
Spec disclosure
2/7 core specs public
ui44 currently has 2 of 7 core physical and operating specs filled in for this model, leaving 5 gaps that matter for deployment planning. Missing runtime, charge, speed, or payload details can materially change staffing and site-readiness assumptions.
The current profile is useful for scouting, but it still leaves meaningful operational unknowns. If this robot is heading toward a pilot or purchase discussion, the next step should be a structured vendor Q&A that fills the remaining runtime, charging, payload, safety, or integration blanks before anyone builds ROI assumptions around it.
If you want a faster apples-to-apples read, compare the Coco 2 against nearby alternatives in ui44's compare view, then cross-check the underlying AI, sensor, and subsystem terms in the components glossary. For manufacturer-level context, the Coco Robotics profile helps anchor this robot inside the wider product lineup.
Before you sign off on a pilot, confirm these points
- Confirm how the charging workflow works in practice, including charger count, swap options, and expected downtime.
- Clarify usable payload or tool-load limits before planning material handling or mounted accessories.
- Check what safety, electrical, or deployment certifications exist for the region and task you care about.
Owning the Coco 2: Setup, Maintenance & Tips
Practical guide from day one through years of ownership
Initial Setup
Commercial robot deployment is a project, not just a setup. Begin with a site assessment covering floor plans, traffic patterns, integration requirements, and staff training needs. Map the operating environment with the robot, marking restricted areas, service points, and charging stations. Integrate with business systems — POS for restaurants, PMS for hotels, WMS for warehouses. Train staff on robot interaction, troubleshooting, and emergency procedures. Run a supervised pilot period before transitioning to full autonomous operation. Gather and address staff and customer feedback during the pilot to optimize the deployment before scaling.
Ongoing Maintenance
Commercial robots earn their keep through consistent operation, making maintenance an operational priority rather than an afterthought. Establish daily visual inspection routines for operations staff. Schedule weekly maintenance windows for thorough cleaning, sensor calibration, and software updates. Track key performance indicators — delivery times, task completion rates, customer feedback — to detect performance degradation before it becomes noticeable. For food-handling robots, follow strict hygiene protocols including regular sanitization of tray surfaces and contact points. Multi-robot deployments benefit from staggered maintenance schedules to maintain coverage.
Software Updates & Long-Term Support
Commercial robot updates can add new capabilities, improve navigation in your specific environment, and fix operational edge cases. The manufacturer may release updates based on fleet-wide learning — improvements discovered at one deployment benefiting all customers. Test significant updates during low-traffic periods before deploying to your full fleet. Keep communication channels open with your robot vendor's support team to provide feedback that can drive improvement in future updates.
Maximizing Longevity
Commercial robots in daily operation can last three to five years or more with proper care. The primary wear items are wheels, motors, and batteries. Maintain a spare parts inventory for consumables to minimize downtime. Track operating hours and correlate with maintenance needs to develop predictive maintenance schedules specific to your deployment conditions. Consider the total cost of ownership over the deployment lifetime when evaluating robot vendors — the cheapest robot up front may cost more over five years if parts are expensive or support is limited.
For Coco Robotics-specific support resources and documentation, visit the Coco Robotics page on ui44 or check the manufacturer's official website at Coco Robotics's product page.
Frequently Asked Questions
What is the Coco 2?
The Coco 2 is a Commercial robot made by Coco Robotics. Coco 2 is the next-generation fully autonomous delivery robot from Coco Robotics, a Venice Beach–based startup founded at UCLA in 2020. Unlike its predecessor which relied on remote human drivers, Coco 2 operates with full autonomy using end-to-end neural networks trained on millions of real-world city miles. The robot navigates sidewalks, bike lanes, and roads where permitted, reducing delivery times by up to 50% compared to the prior generation. Built around NVIDIA Jetson Orin NX edge computing and solid-state LiDAR, Coco 2 reaches speeds up to 21 km/h (13 mph) with a 32 km range per charge. It features a multi-compartment cargo area that fits up to four 18-inch pizza boxes or six separate customer orders, a 360-degree turn-in-place design, and a swappable battery. The robot is fully submersible for flood conditions and compatible with snow tires for winter operation. Coco powers deliveries through Uber Eats, DoorDash, and Wolt, serving over 3,000 merchants across US cities including Los Angeles, Chicago, Miami, and Jersey City, as well as Helsinki, Finland. The company plans to scale to thousands of robots globally through 2026 with expansion into Europe and Asia. It features 4 sensor types, 2 connectivity protocols, and 9 distinct capabilities.
How much does the Coco 2 cost?
Coco Robotics has not disclosed public pricing for the Coco 2. Contact the manufacturer directly for pricing information. Not available for consumer purchase; operates as part of Coco delivery platform
Is the Coco 2 available to buy?
Yes, the Coco 2 is in active commercial production and currently sold by Coco Robotics. Check Coco Robotics's official website or authorized retailers for the latest stock and ordering options.
What sensors does the Coco 2 have?
The Coco 2 is equipped with 4 sensor types: Solid-State LiDAR, Cameras, GPS, IMU. These sensors work together through sensor fusion to provide comprehensive environmental awareness for autonomous operation. See the sensor analysis section for details.
How long does the Coco 2 battery last?
The Coco 2 has a rated battery life of 32 km (20 mi) range per charge. Actual battery performance may vary based on usage intensity, ambient temperature, and specific tasks being performed. Heavy workloads like continuous navigation and sensor processing will consume battery faster than idle or standby modes.
What AI does the Coco 2 use?
The Coco 2 is powered by End-to-end neural networks on NVIDIA Jetson Orin NX; trained via NVIDIA Omniverse, Isaac Sim, and Cosmos synthetic data pipelines. This AI platform handles the robot's perception processing, decision-making, and autonomous behavior. The sophistication of the AI directly impacts how well the robot handles unexpected situations, learns from its environment, and improves over time.
How does the Coco 2 compare to the ADAM?
The Coco 2 and ADAM are both commercial robots, but they differ in key specifications, pricing, and manufacturer approach. Use the side-by-side comparison tool to see detailed differences in specs, sensors, and capabilities. You can also browse other similar robots below.
Does the Coco 2 work with smart home systems?
Yes, the Coco 2 is compatible with: Uber Eats, DoorDash, Wolt, Coco App. This ecosystem integration allows the robot to work alongside your existing smart home devices and platforms rather than operating as an isolated system.
How current is the Coco 2 data on ui44?
The Coco 2 specifications on ui44 were last verified on 2026-04-07. All data is sourced from official Coco Robotics documentation, spec sheets, and press releases. If you notice any outdated information, please let us know.
Data Integrity
All Coco 2 data on ui44 is verified against official Coco Robotics sources, including spec sheets, product pages, and press releases. Last verified: 2026-04-07. Official source: Coco Robotics product page. If you find outdated or incorrect information, please let us know — accuracy is our top priority.
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