Dot
DoorDash Dot is the first commercial autonomous delivery robot designed to navigate roads, bike lanes, sidewalks, and driveways in a single trip. Developed entirely in-house by DoorDash Labs, Dot is roughly one-tenth the size of a car and fully electric. It features a locked, insulated cargo compartment that holds up to six pizza boxes or 30 lbs of items, with customizable merchant inserts including cupholders and coolers. Dot uses eight cameras, four radar units, and three LiDAR sensors for 360-degree situational awareness, paired with a real-time AI model combining deep learning and search-based path planning. The robot reaches speeds up to 20 mph on roads and 5 mph on sidewalks, with a removable battery providing over six hours of continuous operation. Launched commercially in the Phoenix metropolitan area (Tempe and Mesa, Arizona) in late 2025, Dot expanded to Fremont, California in March 2026. It integrates with DoorDash's Autonomous Delivery Platform, which orchestrates multi-modal delivery across Dashers, robots, and drones.
Not available for consumer purchase; operates as part of DoorDash delivery platform
Height
~152 cm (~5 ft)
Weight
159 kg (350 lbs)
Battery
6+ hours per charge
Speed
32 km/h (20 mph on roads); 24 km/h (15 mph bike lanes); 8 km/h (5 mph sidewalks)
Technical Specifications
Height
~152 cm (~5 ft)
Weight
159 kg (350 lbs)
Battery Life
6+ hours per charge
Charging Time
Not disclosed (removable/swappable battery)
Max Speed
32 km/h (20 mph on roads); 24 km/h (15 mph bike lanes); 8 km/h (5 mph sidewalks)
Capabilities
9Sensors
4Ecosystem Compatibility
- DoorDash App
- DoorDash Autonomous Delivery Platform
- SmartScale
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About the Dot
The Dot is a Commercial robot built by DoorDash. DoorDash Dot is the first commercial autonomous delivery robot designed to navigate roads, bike lanes, sidewalks, and driveways in a single trip. Developed entirely in-house by DoorDash Labs, Dot is roughly one-tenth the size of a car and fully electric. It features a locked, insulated cargo compartment that holds up to six pizza boxes or 30 lbs of items, with customizable merchant inserts including cupholders and coolers. Dot uses eight cameras, four radar units, and three LiDAR sensors for 360-degree situational awareness, paired with a real-time AI model combining deep learning and search-based path planning. The robot reaches speeds up to 20 mph on roads and 5 mph on sidewalks, with a removable battery providing over six hours of continuous operation. Launched commercially in the Phoenix metropolitan area (Tempe and Mesa, Arizona) in late 2025, Dot expanded to Fremont, California in March 2026. It integrates with DoorDash's Autonomous Delivery Platform, which orchestrates multi-modal delivery across Dashers, robots, and drones.
Pricing has not been publicly disclosed. See all DoorDash robots on the DoorDash page.
Spec Breakdown
Detailed specifications for the Dot
Height
~152 cm (~5 ft)At ~152 cm (~5 ft), the Dot is sized for its intended operating environment and use cases.
Weight
159 kg (350 lbs)Weighing 159 kg (350 lbs), the Dot balances structural integrity with portability and maneuverability.
Battery Life
6+ hours per chargeWith a battery life of 6+ hours per charge, the Dot 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.
Charging Time
Not disclosed (removable/swappable battery)A charging time of Not disclosed (removable/swappable battery) means the ratio of operation to downtime is an important consideration for applications requiring near-continuous availability. Some deployments use multiple robots in rotation to maintain uninterrupted service.
Maximum Speed
32 km/h (20 mph on roads); 24 km/h (15 mph bike lanes); 8 km/h (5 mph sidewalks)A top speed of 32 km/h (20 mph on roads); 24 km/h (15 mph bike lanes); 8 km/h (5 mph sidewalks) is calibrated for the robot's primary operating environment and safety requirements.
The Dot uses DoorDash Labs autonomy stack — deep learning + search-based path planning, real-time obstacle detection and avoidance 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.
Dot Sensor Suite
The Dot integrates 4 sensor types, forming the perceptual foundation that enables autonomous operation.
This sensor configuration enables the Dot 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
Dot 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 Dot offers 9 distinct capabilities, each contributing to the robot's practical utility.
These capabilities work together with the robot's 4 onboard sensor types and DoorDash Labs autonomy stack — deep learning + search-based path planning, real-time obstacle detection and avoidance AI platform to deliver practical, real-world performance.
Ecosystem Integration
The Dot integrates with the following platforms and ecosystems, extending its utility beyond standalone operation.
This ecosystem compatibility enables the Dot to work as part of a broader automation setup rather than operating in isolation.
Dot Capabilities
9
Capabilities
4
Sensor Types
AI
DoorDash Labs autonomy stack…
Connectivity & Integration
How the Dot communicates with your network, smart home devices, cloud services, and companion apps.
Network & Communication Protocols
Voice Assistant Integration
Dot Technology Stack Overview
The Dot by DoorDash integrates 10 distinct technology components across sensing, connectivity, intelligence, and interaction layers. The physical platform features a height of ~152 cm (~5 ft), a weight of 159 kg (350 lbs), a top speed of 32 km/h (20 mph on roads); 24 km/h (15 mph bike lanes); 8 km/h (5 mph sidewalks), providing the foundation on which this technology stack operates.
Perception — 4 Sensor Types
The perception layer is built on 8 External Cameras, 4 Radar Units, 3 LiDAR Sensors, 1 Internal Camera (food quality monitoring). 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
For communications, the Dot relies on Cellular, DoorDash Platform. This connectivity stack ensures the robot can communicate with cloud services, local smart home devices, mobile apps, and other networked systems in its environment.
Intelligence — DoorDash Labs autonomy stack — deep learning + search-based path planning, real-time obstacle detection and avoidance
DoorDash Labs autonomy stack — deep learning + search-based path planning, real-time obstacle detection and avoidance 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.
Voice — Speakers, LED Text Display Strip, Microphone (future AI conversation capability)
Voice interaction is handled through Speakers and LED Text Display Strip and Microphone (future AI conversation capability), providing natural language understanding and speech synthesis that enable conversational control and integration with broader smart home ecosystems.
Who Should Consider the Dot?
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
Availability
ActiveThe Dot has a status of Active. Check with DoorDash for the latest availability details.
Dot: Strengths & Trade-offs
Engineering compromises and where this commercial robot excels
What the Dot does well
Solid sensor coverage
The Dot 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 Dot 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 32 km/h (20 mph on roads); 24 km/h (15 mph bike lanes); 8 km/h (5 mph sidewalks) provides the Dot 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.
Multi-platform voice support
Supporting 3 voice assistant platforms (Speakers, LED Text Display Strip, Microphone (future AI conversation capability)) means the Dot integrates with whichever voice ecosystem you already use. This flexibility avoids platform lock-in and enables broader smart home interoperability.
What to consider carefully
Significant weight
At 159 kg (350 lbs), the Dot is a substantial piece of equipment. This weight contributes to stability and robustness but also means the robot requires careful consideration of floor load limits, transportation logistics, and the potential impact force in the event of unexpected contact with people or objects.
Undisclosed pricing
DoorDash has not published a public price for the Dot. 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 Dot'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 DoorDash 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 Dot by DoorDash incorporates many of these technology pillars. For a detailed look at the specific sensors and components used in the Dot, see the sensor analysis and connectivity sections above, or browse the complete components glossary for explanations of every technology used across the robotics industry.
Dot in the Commercial Market
How this robot compares in the commercial landscape
DoorDash has not publicly disclosed pricing for the Dot, which is typical for enterprise-focused robotics platforms that offer customized solutions and direct-sales relationships.
The Dot'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 Dot 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 DoorDash's portfolio and market strategy, visit the DoorDash manufacturer page.
Owning the Dot: 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 DoorDash-specific support resources and documentation, visit the DoorDash page on ui44 or check the manufacturer's official website at DoorDash's product page.
Frequently Asked Questions
What is the Dot?
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How does the Dot compare to the Coco 2?
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Data Integrity
All Dot data on ui44 is verified against official DoorDash sources, including spec sheets, product pages, and press releases. Last verified: 2026-04-07. Official source: DoorDash product page. If you find outdated or incorrect information, please let us know — accuracy is our top priority.
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