Release
Jun 1, 2014
Price
Price TBA
Connectivity
2
Status
Available
Height
120cm
Weight
29.6 kg
Battery
~12 hours (shop use)
Speed
~2 km/h (1.2 mph)
Aldebaran Robotics' semi-humanoid robot designed to read emotions and interact with people. Introduced by SoftBank in Tokyo in June 2014, Pepper became one of the most recognized social robots in the world — approximately 27,000 units were manufactured before production was paused in June 2021 due to weak demand. The first batch of 1,000 units sold out in 60 seconds in June 2015. Pepper was deployed in SoftBank stores, banks, hospitals, airports, and restaurants across Japan, Europe, and North America. Features a 10.1-inch touch display, emotion recognition via facial expression and voice tone analysis, and a wheeled omnidirectional base. In June 2025, Aldebaran Robotics went into receivership. In July 2025, Shenzhen-based Maxvision Technology Corp. acquired Aldebaran's core assets, including the Pepper and NAO intellectual property.
Listed price
Price TBA
Current official sales are region/partner-based with no public MSRP on official pages; legacy Japan launch pricing was about ¥198,000 (~$1,800).
Release window
Jun 1, 2014
Current status
Available
Aldebaran Robotics
Last verified
Apr 17, 2026
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Technical overview
A fast read on the mechanical profile, sensing package, and platform integrations behind Pepper.
Height
120cm
Weight
29.6 kg
Battery Life
~12 hours (shop use)
Charging Time
~8 hours 20 minutes
Max Speed
~2 km/h (1.2 mph)
Operational profile
Capabilities
10
Connectivity
2
Key capabilities
Ecosystem fit
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Can Home Robots Hold a Real Conversation?
The Pepper is a Commercial robot built by Aldebaran Robotics. Aldebaran Robotics' semi-humanoid robot designed to read emotions and interact with people. Introduced by SoftBank in Tokyo in June 2014, Pepper became one of the most recognized social robots in the world — approximately 27,000 units were manufactured before production was paused in June 2021 due to weak demand. The first batch of 1,000 units sold out in 60 seconds in June 2015. Pepper was deployed in SoftBank stores, banks, hospitals, airports, and restaurants across Japan, Europe, and North America. Features a 10.1-inch touch display, emotion recognition via facial expression and voice tone analysis, and a wheeled omnidirectional base. In June 2025, Aldebaran Robotics went into receivership. In July 2025, Shenzhen-based Maxvision Technology Corp. acquired Aldebaran's core assets, including the Pepper and NAO intellectual property.
Pricing has not been publicly disclosed. See all Aldebaran Robotics robots on the Aldebaran Robotics page.
Detailed specifications for the Pepper
Height
120cmAt 120cm, the Pepper is sized for its intended operating environment and use cases.
Weight
29.6 kgWeighing 29.6 kg, the Pepper balances structural integrity with portability and maneuverability.
Battery Life
~12 hours (shop use)With a battery life of ~12 hours (shop use), the Pepper 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
~8 hours 20 minutesA charging time of ~8 hours 20 minutes 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
~2 km/h (1.2 mph)A top speed of ~2 km/h (1.2 mph) is calibrated for the robot's primary operating environment and safety requirements.
AI Platform
NAOqi OS (Linux-based)The Pepper uses NAOqi OS (Linux-based) 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.
The Pepper integrates 8 sensor types, forming the perceptual foundation that enables autonomous operation.
This sensor configuration enables the Pepper 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
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.
The Pepper offers 10 distinct capabilities, each contributing to the robot's practical utility.
These capabilities work together with the robot's 8 onboard sensor types and NAOqi OS (Linux-based) AI platform to deliver practical, real-world performance.
The Pepper integrates with the following platforms and ecosystems, extending its utility beyond standalone operation.
This ecosystem compatibility enables the Pepper to work as part of a broader automation setup rather than operating in isolation.
10
Capabilities
8
Sensor Types
AI
NAOqi OS (Linux-based)
Natural conversation capability enables the Pepper to engage in fluid, contextual dialogue with humans. Unlike simple command-response systems, natural conversation involves understanding context, maintaining dialogue history, generating appropriate responses, and timing speech to match conversational flow. Aldebaran Robotics achieves this through integration with large language models and speech processing systems that handle both speech recognition and synthesis. The combination of conversational AI with the Pepper's expressive face and gestures creates an interaction experience that feels substantially more engaging than talking to a disembodied voice assistant — the robot's physical presence and non-verbal cues add communication channels that voice-only systems lack.
Autonomous navigation allows the Pepper to move through its environment without human guidance, planning efficient paths around obstacles and adapting to changes in real time. For a commercial robot, this involves simultaneous localization and mapping (SLAM) to build and maintain environmental models, path planning algorithms to find efficient routes, and reactive obstacle avoidance for unexpected situations. The complexity of autonomous navigation scales dramatically with the environment — navigating a structured warehouse is substantially different from navigating a cluttered home or outdoor space. The Pepper's navigation system must handle the specific challenges of its intended deployment scenarios reliably and repeatedly.
How the Pepper communicates with your network, smart home devices, cloud services, and companion apps.
The Pepper by Aldebaran Robotics integrates 12 distinct technology components across sensing, connectivity, intelligence, and interaction layers. The physical platform features a height of 120cm, a weight of 29.6 kg, a top speed of ~2 km/h (1.2 mph), providing the foundation on which this technology stack operates.
The perception layer is built on RGB Camera ×2 (forehead + mouth), 3D Depth Sensor, Microphone ×4, Gyroscope ×2 (torso + base), Touch Sensors (head, hands), Sonar ×2 (base), Laser Sensor ×6 (base), Bumper ×3 (base). 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.
For communications, the Pepper relies on Wi-Fi 802.11 a/b/g/n (2.4/5 GHz), Ethernet. This connectivity stack ensures the robot can communicate with cloud services, local smart home devices, mobile apps, and other networked systems in its environment.
NAOqi OS (Linux-based) 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 interaction is handled through Multilingual Speech Recognition & Synthesis, providing natural language understanding and speech synthesis that enable conversational control and integration with broader smart home ecosystems.
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.
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
The Pepper is currently available for purchase. Check the manufacturer's website or authorized retailers for the latest stock and ordering information.
Engineering compromises and where this commercial robot excels
With 8 sensor types onboard, the Pepper has one of the more comprehensive perception systems in the commercial category. This multi-modal approach enables robust environmental awareness, redundant obstacle detection, and reliable autonomous operation even in challenging conditions. More sensor diversity generally translates to better real-world adaptability.
With 10 distinct capabilities, the Pepper 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.
A battery life of ~12 hours (shop use) provides substantial operational runway. For commercial applications, this means longer work sessions between charges, fewer interruptions, and the ability to complete larger tasks or cover more area in a single charge cycle.
Unlike many robots that remain in development or prototype stages, the Pepper is available for purchase today. This means you can evaluate the actual shipping product rather than making decisions based on projected specifications that may change before release.
Aldebaran Robotics has not published a public price for the Pepper. 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 Pepper'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 Aldebaran 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.
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.
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.
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.
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.
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.
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.
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 Pepper by Aldebaran Robotics incorporates many of these technology pillars. For a detailed look at the specific sensors and components used in the Pepper, see the sensor analysis and connectivity sections above, or browse the complete components glossary for explanations of every technology used across the robotics industry.
How this robot compares in the commercial landscape
Aldebaran Robotics has not publicly disclosed pricing for the Pepper, which is typical for enterprise-focused robotics platforms that offer customized solutions and direct-sales relationships.
With 8 sensor types, the Pepper has an extensive sensor suite. This comprehensive sensing capability places it among the more perception-capable robots in the commercial category, enabling more robust autonomous operation in varied conditions.
Being currently available for purchase gives the Pepper 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.
Side-by-side specs, capability overlap analysis, and key differentiators.
For the full picture of Aldebaran Robotics's portfolio and market strategy, visit the Aldebaran Robotics manufacturer page.
What the public profile tells you, and what still needs direct vendor confirmation
From a buying and rollout perspective, the Pepper should be read as a commercial platform aimed at service operations that need predictable task throughput. ui44 currently tracks 10 capability signals, 8 sensor inputs, and a last verification date of 2026-04-17. 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 Aldebaran Robotics.
Commercial model
Pricing not public
Current official sales are region/partner-based with no public MSRP on official pages; legacy Japan launch pricing was about ¥198,000 (~$1,800).. That usually means the final commercial package depends on deployment scope, services, or negotiated terms.
Integration posture
2 connectivity options
The profile lists Wi-Fi 802.11 a/b/g/n (2.4/5 GHz), Ethernet, plus NAOqi OS (Linux-based) 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 3 declared compatibility links.
Spec disclosure
5/7 core specs public
ui44 currently has 5 of 7 core physical and operating specs filled in for this model, leaving 2 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 detailed enough to support early comparison work, shortlist creation, and cross-checking against other commercial robots. It is still worth validating the final deployment package, because integration services, support coverage, software entitlements, and site-preparation requirements often sit outside the raw hardware spec sheet.
If you want a faster apples-to-apples read, compare the Pepper 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 Aldebaran Robotics profile helps anchor this robot inside the wider product lineup.
Practical guide from day one through years of ownership
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.
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.
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.
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 Aldebaran Robotics-specific support resources and documentation, visit the Aldebaran Robotics page on ui44 or check the manufacturer's official website at Aldebaran Robotics's product page.
All Pepper data on ui44 is verified against official Aldebaran Robotics sources, including spec sheets, product pages, and press releases. Last verified: 2026-04-17. Official source: Aldebaran Robotics product page. If you find outdated or incorrect information, please let us know — accuracy is our top priority.
See how the Pepper stacks up — compare specs, browse the commercial category, or search the full database.