Commercial model
$125 list price
A published price gives buyers a starting point for budgeting, ROI modeling, and peer comparison before deeper vendor conversations begin.
Robot dossier
StackChan
Release
Jan 13, 2026
Price
$125
Connectivity
6
Status
Available
Height
61.5 mm (product size 54.0 x 70.5 x 61.5 mm)
Weight
187.0 g
M5Stack's StackChan is a palm-sized open-source AI desktop robot co-created with the maker community around the CoreS3 ESP32-S3 controller. Official M5Stack materials describe a ready-to-play companion and development platform with an animated face, AI voice interaction, app-based video viewing and remote avatar control, smart-home/IoT control use cases, two feedback servos for expressive pan-and-tilt motion, NFC, touch, camera, microphones, IMU, RGB LEDs, and Grove expansion. The official documentation and product page list the K151/K151-R hardware as a shippable M5Stack kit, while independent CNX Software coverage corroborates the Kickstarter launch, open-source positioning, AI voice-assistant angle, smart-home/IoT use case, and April 2026 delivery target. It is best understood as a hackable desktop companion and maker robot, not a mobile household chore robot.
Listed price
$125
Official M5Stack store lists the K151-R StackChan Remote Controller Kit at $125; the same listing is tagged Backorder while marked available. Kickstarter launch rewards used lower early-bird pricing and are not current retail pricing.
Release window
Jan 13, 2026
Current status
Available
M5Stack
Last verified
May 29, 2026
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Technical overview
A fast read on the mechanical profile, sensing package, and platform integrations behind StackChan.
Height
61.5 mm (product size 54.0 x 70.5 x 61.5 mm)
Weight
187.0 g
Dimensions
54.0 x 70.5 x 61.5 mm
Battery Life
Not officially disclosed; built-in 550 mAh battery
Charging Time
Not officially disclosed
Max Speed
Not officially disclosed; 360° horizontal servo and 90° vertical servo
Operational profile
Capabilities
11
Connectivity
6
Key capabilities
Ecosystem fit
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Benchmark set
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The StackChan is a Companions robot built by M5Stack. M5Stack's StackChan is a palm-sized open-source AI desktop robot co-created with the maker community around the CoreS3 ESP32-S3 controller. Official M5Stack materials describe a ready-to-play companion and development platform with an animated face, AI voice interaction, app-based video viewing and remote avatar control, smart-home/IoT control use cases, two feedback servos for expressive pan-and-tilt motion, NFC, touch, camera, microphones, IMU, RGB LEDs, and Grove expansion. The official documentation and product page list the K151/K151-R hardware as a shippable M5Stack kit, while independent CNX Software coverage corroborates the Kickstarter launch, open-source positioning, AI voice-assistant angle, smart-home/IoT use case, and April 2026 delivery target. It is best understood as a hackable desktop companion and maker robot, not a mobile household chore robot.
At a listed price of $125, it positions itself in the consumer-accessible segment of the companions market. See all M5Stack robots on the M5Stack page.
Detailed specifications for the StackChan
Height
61.5 mm (product size 54.0 x 70.5 x 61.5 mm)At 61.5 mm (product size 54.0 x 70.5 x 61.5 mm), the StackChan is sized for its intended operating environment and use cases.
Weight
187.0 gWeighing 187.0 g, the StackChan balances structural integrity with portability and maneuverability.
Dimensions
54.0 x 70.5 x 61.5 mmThe overall dimensions of 54.0 x 70.5 x 61.5 mm define the robot's physical footprint and determine what spaces it can navigate and what clearances it requires for operation.
The StackChan uses Factory firmware includes an AI Agent for voice-based interaction, expressive animations, OTA updates, app-linked remote video/avatar control, and open development through Arduino, UiFlow2, PlatformIO, and ESP-IDF on the ESP32-S3 CoreS3 controller. 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 StackChan integrates 7 sensor types, forming the perceptual foundation that enables autonomous operation.
This sensor configuration enables the StackChan 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
Companion robots provide social interaction, emotional support, and entertainment. Unlike utility robots, their primary value proposition is the relationship they build with their owner. The best companions learn preferences, develop personalities, and create genuine emotional connections.
The StackChan offers 11 distinct capabilities, each contributing to the robot's practical utility.
These capabilities work together with the robot's 7 onboard sensor types and Factory firmware includes an AI Agent for voice-based interaction, expressive animations, OTA updates, app-linked remote video/avatar control, and open development through Arduino, UiFlow2, PlatformIO, and ESP-IDF on the ESP32-S3 CoreS3 controller. AI platform to deliver practical, real-world performance.
The StackChan integrates with the following platforms and ecosystems, extending its utility beyond standalone operation.
This ecosystem compatibility enables the StackChan to work as part of a broader automation setup rather than operating in isolation.
11
Capabilities
7
Sensor Types
AI
Factory firmware includes an…
How the StackChan communicates with your network, smart home devices, cloud services, and companion apps.
The StackChan by M5Stack integrates 15 distinct technology components across sensing, connectivity, intelligence, and interaction layers. The physical platform features a height of 61.5 mm (product size 54.0 x 70.5 x 61.5 mm), a weight of 187.0 g, providing the foundation on which this technology stack operates.
The perception layer is built on 0.3 MP / 640 x 480 camera, Dual microphones, Proximity and ambient-light sensor, 9-axis IMU with accelerometer, gyroscope, and magnetometer, Three-zone touch panel, Full-featured NFC module, Infrared transmitter and receiver. 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 StackChan relies on 2.4 GHz Wi-Fi 802.11 b/g/n, Bluetooth 5 LE, USB-C / USB OTG, ESP-NOW wireless remote control, Grove expansion interfaces, GPIO, UART, and I2C. This connectivity stack ensures the robot can communicate with cloud services, local smart home devices, mobile apps, and other networked systems in its environment.
Factory firmware includes an AI Agent for voice-based interaction, expressive animations, OTA updates, app-linked remote video/avatar control, and open development through Arduino, UiFlow2, PlatformIO, and ESP-IDF on the ESP32-S3 CoreS3 controller. 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 M5Stack AI Agent, providing natural language understanding and speech synthesis that enable conversational control and integration with broader smart home ecosystems.
Social and companion robots are purchased by families, elderly individuals, and tech enthusiasts looking for interactive, emotionally engaging robotic pets or social companions. They are particularly popular in Japan and increasingly in senior care contexts worldwide.
Emotional expressiveness, interaction quality, voice recognition, personality development over time, and durability (especially for children) are what matter most. Privacy controls for cameras and microphones are increasingly important. Battery life determines how available the companion is throughout the day.
Price Context
The StackChan 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 companions robot excels
With 7 sensor types onboard, the StackChan has one of the more comprehensive perception systems in the companions 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.
Supporting 6 connectivity protocols gives the StackChan flexible integration options. Whether connecting to local smart home networks, cloud services, or companion devices, the breadth of connectivity ensures compatibility across a wide range of deployment scenarios and reduces the risk of network-related limitations.
With 11 distinct capabilities, the StackChan 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.
Unlike many robots that remain in development or prototype stages, the StackChan 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.
At $125, the StackChan is competitively priced within the companions market. This price point makes the technology accessible to a broader audience and represents a lower barrier to entry for those exploring companions robotics.
Note: This strengths and trade-offs assessment is based on the StackChan'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 M5Stack 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
Companion robots sit at the intersection of engineering and emotional design. Unlike utility robots measured by specifications like suction power or payload capacity, companion robots are judged by how well they make people feel — their expressiveness, responsiveness, personality, and ability to form genuine-seeming bonds with their owners. The technology behind these emotional machines is surprisingly sophisticated, drawing from psychology, animation, and cutting-edge AI.
Companion robots typically operate in confined indoor spaces and prioritize safe, predictable movement over sophisticated mapping. Most use simple but effective navigation combining bump sensors, cliff detection, and basic obstacle avoidance. Some advanced models incorporate camera-based person-following — the ability to track and follow a specific person through rooms. Unlike utility robots that need systematic coverage, companion robots navigate toward social engagement: moving toward voices, approaching detected family members, or positioning themselves for optimal interaction. The movement itself is often designed to convey personality — a curious robot might lean forward when exploring, while a timid one might approach cautiously.
AI is the heart of a companion robot's appeal. Emotion recognition systems analyze facial expressions, voice tone, and behavioral patterns to infer the user's emotional state and respond appropriately. Natural language processing enables conversational interaction that goes beyond simple command-response patterns. Personality systems create consistent behavioral traits that make the robot feel like an individual rather than a generic device. Machine learning allows the robot to adapt to its owner's preferences, schedule, and interaction style over time. The most advanced companion robots use generative AI to create novel responses and behaviors rather than relying solely on pre-programmed scripts, making interactions feel more natural and less repetitive.
Companion robot sensors prioritize social perception over environmental mapping. Cameras detect faces, read expressions, and enable recognition of family members. Microphone arrays with beamforming capture and localize voice from across a room, enabling natural conversation without shouting. Touch sensors across the body detect petting, hugging, and other physical interaction, triggering appropriate emotional responses. Some models include heart-rate or breathing-rate sensors in their touch surfaces, enabling health-monitoring features for elderly users. Temperature and light sensors help the robot understand context — bedtime versus activity time — and adjust its behavior accordingly.
Companion robots need to be available throughout the day to maintain the social bond with their owner. Battery life of eight hours or more is typical, with automatic return-to-charging-dock behavior when levels drop. Power management is designed to be invisible — the robot should seem always available and never interrupt a social moment to announce low battery. Some companion robots use sleep modes during inactive periods, with motion or sound detection to wake instantly when the owner approaches. Charging docks often double as the robot's designated resting spot, making the charging behavior feel natural rather than mechanical.
Companion robots prioritize child and elderly safety with rounded corners, pinch-free joint designs, and materials safe for skin contact. Emotional safety is equally important — companion robots are designed to never express anger, fear, or distress in ways that could upset vulnerable users. Privacy features include physical camera covers, microphone mute buttons, and transparent data handling policies. For elderly users, companion robots may include fall-detection alerts, activity monitoring, and remote check-in features that balance safety with privacy. The robot's emotional responses are carefully calibrated to avoid over-attachment or dependency concerns.
Companion robotics is evolving toward more nuanced emotional intelligence, deeper personalization, and expanded health-monitoring capabilities. Advances in generative AI are enabling more natural and varied conversational interaction. Future companion robots may serve as health monitoring platforms that detect changes in an owner's mood, activity levels, or cognitive patterns — providing early warning of health issues to family members or caregivers. The integration of companion features into utility robots (and vice versa) may blur category boundaries, creating household robots that are both helpful and emotionally engaging.
The StackChan by M5Stack incorporates many of these technology pillars. For a detailed look at the specific sensors and components used in the StackChan, 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 companions landscape
At $125, the StackChan competes in the entry-level segment of the companions market, where affordability is the primary consideration for most buyers.
With 7 sensor types, the StackChan has an extensive sensor suite. This comprehensive sensing capability places it among the more perception-capable robots in the companions category, enabling more robust autonomous operation in varied conditions.
Being currently available for purchase gives the StackChan 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 M5Stack's portfolio and market strategy, visit the M5Stack manufacturer page.
What the public profile tells you, and what still needs direct vendor confirmation
From a buying and rollout perspective, the StackChan should be read as a companions platform aimed at social, education, or care environments where interaction quality matters. ui44 currently tracks 11 capability signals, 7 sensor inputs, and a last verification date of 2026-05-29. 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 M5Stack.
Commercial model
$125 list price
A published price gives buyers a starting point for budgeting, ROI modeling, and peer comparison before deeper vendor conversations begin.
Integration posture
6 connectivity options
The profile lists 2.4 GHz Wi-Fi 802.11 b/g/n, Bluetooth 5 LE, USB-C / USB OTG, ESP-NOW wireless remote control, Grove expansion interfaces, GPIO, UART, and I2C, plus Factory firmware includes an AI Agent for voice-based interaction, expressive animations, OTA updates, app-linked remote video/avatar control, and open development through Arduino, UiFlow2, PlatformIO, and ESP-IDF on the ESP32-S3 CoreS3 controller. 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 8 declared compatibility links.
Spec disclosure
3/7 core specs public
ui44 currently has 3 of 7 core physical and operating specs filled in for this model, leaving 4 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 StackChan 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 M5Stack profile helps anchor this robot inside the wider product lineup.
Practical guide from day one through years of ownership
Companion robot setup is designed to be simple and engaging — the first interaction sets the tone for the relationship. Typical setup involves charging the robot, downloading the companion app, connecting to Wi-Fi, and going through an introduction sequence where the robot learns your face and name. Many companion robots have a personality development phase during the first few days, where they become more responsive and personalized as they learn your voice, habits, and preferences. Place the charging dock in a social area where the robot can be part of daily life rather than tucked away in a corner. Introduce the robot to all family members during setup so it can learn to recognize everyone.
Companion robots generally require minimal maintenance. Weekly care includes wiping the exterior with a soft cloth, checking that sensors and cameras are clean, and ensuring the charging dock area is clear. Monthly tasks include checking for and installing software updates, cleaning any microphone or speaker grilles, and inspecting the wheels or locomotion system for hair or debris. The emotional design means that maintenance should feel like care rather than servicing — many owners naturally incorporate it into their interaction with the robot.
Software updates for companion robots often add new behaviors, expressions, voice capabilities, and interaction patterns. These updates keep the relationship fresh and can significantly enhance the robot's emotional range and social intelligence over time. Most companion robots update automatically during sleep or charging periods. Some manufacturers offer premium content subscriptions that add seasonal behaviors, educational content, or language capabilities.
Companion robots typically last three to five years or more with gentle handling. The primary concerns are battery health and physical wear from daily interaction. Avoid dropping the robot or handling it roughly, especially the camera and sensor areas. Keep the robot away from water and extreme temperatures. Battery life will gradually decrease over time; contact the manufacturer about battery replacement options when charging becomes noticeably more frequent. For children's companion robots, supervise initial interactions to establish gentle handling habits.
For M5Stack-specific support resources and documentation, visit the M5Stack page on ui44 or check the manufacturer's official website at M5Stack's product page.
All StackChan data on ui44 is verified against official M5Stack sources, including spec sheets, product pages, and press releases. Last verified: 2026-05-29. Official source: M5Stack product page. If you find outdated or incorrect information, please let us know — accuracy is our top priority.
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