Unitree G1-D
Gundua Unitree G1-D kwa muhtasari usioegemea upande wowote, unaotegemea ukweli wa teknolojia, programu, manufaa na vigezo vya uteuzi kwa suluhu za kisasa za roboti.
Utangulizi na muhtasari
Muhtasari mfupi: Gundua Unitree G1-D kwa muhtasari usioegemea upande wowote, unaotegemea ukweli wa teknolojia, programu, manufaa na vigezo vya uteuzi kwa suluhu za kisasa za roboti.
Unitree G1-D ni sehemu ya soko la roboti linalopanuka kwa kasi ambapo otomatiki, akili ya bandia, vitambuzi na mifumo thabiti ya kiufundi huunganishwa ili kutatua kazi za vitendo katika tasnia, huduma, utafiti na shughuli za umma. Aina ya kisasa ya roboti inapaswa kueleweka kuwa zaidi ya mashine moja: inajumuisha maunzi, programu, utendaji wa usalama, ujumuishaji, mafunzo, matengenezo na muktadha wa biashara ambapo teknolojia huunda thamani. Ukurasa huu unatoa muhtasari wa kina, wenye mamlaka na ulioboreshwa zaidi wa utafutaji wa Unitree G1-D kwa watoa maamuzi, wahandisi, wanunuzi, waelimishaji na watafiti.
Kuvutiwa na Unitree G1-D kunatokana na hitaji la tija ya juu, ubora bora wa data, michakato thabiti zaidi na ushughulikiaji salama wa majukumu ambayo yanaweza kuwa mazito, yanayorudiwa, hatari au yanayochukua muda kwa watu. Mashirika ya utafiti yanaponunua Unitree G1-D, Unitree G1-D ya kuuza, bei ya Unitree G1-D au gharama ya Unitree G1-D, mara chache uamuzi huwa kuhusu ununuzi pekee. Pia inajumuisha mzunguko kamili wa maisha: vipimo, utekelezaji, mafunzo ya waendeshaji, huduma, vipuri, masasisho ya programu, usalama wa mtandao na usaidizi wa muda mrefu.
Kubuni na vipengele
Muundo wa Unitree G1-D hutofautiana kulingana na kazi, mazingira na uhuru unaotarajiwa. Mifumo mingine imesimama na imeboreshwa kwa usahihi, wakati mingine ni ya simu na imeundwa kwa urambazaji katika nafasi ngumu. Suluhisho za roboti zinazotegemewa kwa kawaida huchanganya uthabiti wa kimitambo, viamilishi vinavyotegemewa, muunganisho wa vitambuzi, violesura angavu vya watumiaji na itifaki za usalama zilizoandikwa. Ufikiaji wa huduma, modularity na ergonomics pia ni muhimu kwa sababu roboti mara nyingi hufanya kazi karibu na waendeshaji, mafundi, wateja au vifaa vingine vya kiotomatiki.
Vipengele vya kawaida vinaweza kujumuisha utiririshaji wa kazi unaoweza kupangwa, ufuatiliaji wa mbali, vifaa vya msimu, uchunguzi wa wakati halisi, utambuzi wa mgongano, kamera, LiDAR, vihisi vya nguvu, vishikio, usimamizi wa betri na ujumuishaji na mifumo iliyopo ya IT au otomatiki. Kwa kategoria za rununu, uchoraji ramani, upangaji wa njia, kuepuka vizuizi na usimamizi wa meli ni muhimu mara kwa mara. Kwa roboti zinazofanya kazi karibu na watu, kizuizi cha kasi, kusimama kwa dharura, kutokuwa na kazi na mawasiliano ya hali ya wazi ni mahitaji muhimu ya muundo.
Teknolojia na vipimo
Teknolojia ya Unitree G1-D kwa kawaida ni mchanganyiko wa mitambo, vifaa vya elektroniki na programu. Roboti inaweza kutumia injini za umeme, viendeshi vya sauti, viendeshaji laini, vijenzi vya majimaji au viungio maalumu kulingana na mahitaji ya nguvu, kasi na usahihi. Udhibiti unashughulikiwa na vidhibiti vya viwandani, kompyuta za pembeni au mifumo iliyopachikwa ambayo huchakata data ya vitambuzi na kuibadilisha kuwa harakati, urambazaji au maamuzi.
Vipimo vinapaswa kutathminiwa kila wakati dhidi ya programu iliyokusudiwa. Vigezo vinavyofaa vinaweza kujumuisha upakiaji, ufikiaji, muda wa kukimbia, muda wa malipo, kasi, usahihi wa nafasi, ukadiriaji wa IP, halijoto ya uendeshaji, itifaki za mawasiliano, uidhinishaji wa usalama, API za programu na uoanifu wa vifaa. Bei ya chini ya ununuzi inaweza kuwa chini ya muhimu kuliko uendeshaji thabiti, nyaraka na huduma, wakati mfano wa juu una maana tu wakati uwezo wake unatumiwa kweli katika mtiririko wa kazi.
Maombi na kesi za matumizi
Unitree G1-D inaweza kutumika kote katika utengenezaji, usafirishaji, ukaguzi, elimu, utafiti, huduma za afya, huduma, usalama na shughuli za nyanjani. Katika mazingira ya viwanda, roboti husaidia kuboresha matokeo, kupunguza makosa na kuunda michakato inayotabirika zaidi. Katika huduma au mazingira yanayowakabili wateja, wanaweza kuboresha upatikanaji, utoaji wa taarifa na kushughulikia kazi za kawaida. Katika utafiti na maendeleo, majukwaa ya roboti huwezesha kufanya majaribio ya urambazaji, upotoshaji, mwingiliano wa roboti ya binadamu na kufanya maamuzi kulingana na AI.
Mashirika yanapaswa kufafanua tatizo kabla ya kuchagua teknolojia. Uainisho mzuri wa mahitaji hufafanua kazi, mazingira, mzigo wa malipo, mahitaji ya usalama, pointi za ujumuishaji, kiwango cha ujuzi wa waendeshaji, mahitaji ya data na mzunguko wa huduma unaotarajiwa. Kisha Unitree G1-D inaweza kulinganishwa kwa kutumia sifa zinazoweza kuthibitishwa badala ya madai mapana ya uuzaji. Hii inapunguza hatari ya ununuzi na hurahisisha kuamua ikiwa suluhisho linapaswa kuwa la kawaida, kubinafsishwa au sehemu ya mradi mkubwa wa otomatiki.
Faida na mapungufu
Faida kuu za Unitree G1-D kwa kawaida ni pamoja na ufanisi wa juu zaidi, uboreshaji wa kujirudiarudia, usalama bora, unasaji data thabiti na uwezo wa kuwaachilia watu kutokana na kazi hatari au mbaya. Roboti zinaweza kufanya kazi kwa michakato thabiti, kuweka kumbukumbu za matukio na kutoa matokeo ambayo ni vigumu kutunza kwa mikono kwa muda mrefu. Kwa mashirika mengi, robotiki kwa hivyo inakuwa uwezo wa kimkakati badala ya ununuzi rahisi wa vifaa.
Mapungufu yanapaswa kutathminiwa kwa uhalisia. Utekelezaji unahitaji kupanga, majaribio, mafunzo, ujumuishaji na wakati mwingine mabadiliko kwa mtiririko wa kazi uliopo. Mazingira yenye vigeu vingi visivyotabirika yanaweza kuhitaji vihisi vya ziada, urekebishaji wa programu au usimamizi wa binadamu. Jumla ya uchumi ni pamoja na sio tu upatikanaji, lakini pia matengenezo, vipuri, mikataba ya huduma, matumizi ya nishati, usalama wa mtandao na kujenga uwezo wa ndani. Kwa sababu hiyo, bei ya Unitree G1-D na gharama ya Unitree G1-D zinapaswa kueleweka kuwa jumla ya gharama ya umiliki, si kama nambari moja.
Kununua, tathmini na utekelezaji katika Afrika
Watumiaji wanapotafuta kununua Unitree G1-D au Unitree G1-D ya kuuza, mahali pazuri pa kuanzia ni ukurasa wa kategoria husika, ambapo miundo, vifuasi na suluhu zinazohusiana zinaweza kulinganishwa katika muktadha sawa. Kwa masoko ya Afrika, wanunuzi mara nyingi wanahitaji kuzingatia usaidizi wa lugha, utoaji wa kikanda, huduma ya udhamini, nyaraka, kufuata, mafunzo na ushirikiano na hali ya uendeshaji wa ndani. Bei mahususi hazijaorodheshwa hapa kwa sababu bei sahihi inategemea usanidi, sauti, vifuasi, kiwango cha usaidizi, uwasilishaji na mahitaji yoyote ya ujumuishaji.
Utekelezaji uliopangwa kwa kawaida hujumuisha uchanganuzi wa mahitaji, uthibitishaji wa kiufundi, mradi wa majaribio, tathmini ya hatari, mafunzo ya waendeshaji na uboreshaji unaoendelea. Vigezo vya mafanikio vinapaswa kuandikwa mapema: muda wa ziada, muda wa mzunguko, kiwango cha makosa, matukio ya usalama, matumizi ya nishati, ubora wa data na kukubalika kwa mtumiaji. Hii inafanya uwezekano wa kutathmini Unitree G1-D kwa ukamilifu baada ya kupelekwa.
Maswali Yanayoulizwa Mara kwa Mara
Unitree G1-D ni nini?
Unitree G1-D inarejelea suluhu za roboti, mifumo au kategoria zilizoundwa kwa ajili ya kazi mahususi katika otomatiki, huduma, utafiti, uendeshaji au kazi ya shambani.
Je, Unitree G1-D hufanya kazi vipi?
Unitree G1-D hufanya kazi kwa kuchanganya vipengele vya mitambo, vitambuzi, vidhibiti na programu zinazotambua mazingira na kutekeleza vitendo vilivyoratibiwa au vinavyojiendesha.
Kwa nini Unitree G1-D ni muhimu?
Unitree G1-D ni muhimu kwa sababu roboti inaweza kuboresha usalama, tija, usahihi na ufanyaji maamuzi unaotokana na data katika mashirika ya kisasa.
Je, faida za Unitree G1-D ni zipi?
Manufaa ni pamoja na michakato thabiti, kupunguza mzigo wa kazi wa mikono, uwekaji hati bora zaidi, upatikanaji wa juu zaidi na uwezo wa kuweka kazi ngumu au hatari kiotomatiki.
Ni nini kinachoathiri bei ya Unitree G1-D na gharama ya Unitree G1-D?
Bei na gharama huathiriwa na usanidi, vifaa, programu, usaidizi, utoaji, ushirikiano, mafunzo na matengenezo ya muda mrefu. Tumia ukurasa wa kategoria sawa kuomba tathmini inayofaa.
Ninaweza kununua wapi Unitree G1-D?
Njia inayofaa zaidi ni kutumia ukurasa wa kategoria hii kulinganisha chaguo zinazopatikana na uwasiliane na msambazaji kuhusu usanidi, upatikanaji na hatua zinazofuata.
Muhtasari
Unitree G1-D ni sehemu muhimu ya robotiki za kisasa na otomatiki. Kwa vipimo sahihi, ukaguzi wa kiufundi na mpango wa utekelezaji, kitengo kinaweza kusaidia michakato iliyo salama, yenye ufanisi zaidi na inayoweza kupanuka katika sekta na programu.
Unitree G1-D Wheeled Humanoid Robot
The G1-D emerged from a specific market need that the bipedal G1 cannot efficiently address: large-scale, sustained robotic data collection for training humanoid manipulation AI. Training the vision-language-action (VLA) models and imitation learning policies that enable robots to handle diverse real-world manipulation tasks requires millions of robot-object interaction episodes across diverse object categories, environments, and task variations. Generating this data through teleoperated bipedal robots is expensive and operationally constrained: bipedal platforms have limited operational endurance (1 to 2 hours per battery charge), require careful balance management during teleoperation, and impose operational overhead on the human teleoperation staff.
The G1-D addresses these constraints through its wheeled design. The Flagship's 6-hour battery life enables extended data collection sessions without frequent recharging interruptions. The wheeled base's inherent stability eliminates the balance overhead that bipedal teleoperation requires, reducing cognitive load on teleoperation staff and improving the quality of demonstration data. The wrist-mounted cameras capture the hand-object visual perspective that is most informative for training manipulation policies — a viewpoint that the head-mounted camera of many existing data collection systems cannot provide.
Unitree's timing with the G1-D also reflects the broader industry context of the "robot training data" market. As general-purpose humanoid AI becomes increasingly dependent on large datasets of human demonstrations, specialized data collection platforms that can efficiently generate high-quality robot demonstration data at scale represent a distinct and growing market segment from the general-purpose research humanoid segment.
The G1-D's integration into Unitree's data collection software framework — providing end-to-end tools for teleoperation data capture, annotation, training pipeline management, and policy deployment — positions it as a complete operational system rather than just a robot hardware platform.
Design and Physical Features
Wheeled Mobile Base: Standard vs. Flagship
The fundamental design distinction between the G1-D's two versions is the mobile base:
G1-D Standard: The upper body is mounted on a stationary base — no locomotion, suitable for fixed workstation data collection tasks where the robot is deployed at a specific location and handles objects brought to it. The stationary design simplifies deployment and reduces cost compared to the mobile Flagship.
G1-D Flagship: The upper body is mounted on a differential drive wheeled mobile base supporting movement at up to 1.5 meters per second. The base includes LiDAR sensors, depth cameras, and collision detection units — a full autonomous navigation sensor suite enabling the robot to navigate factory floors, logistics facilities, and laboratory environments without track guidance. The differential drive enables turning-in-place and arc navigation, covering the movement patterns needed for logistics, warehouse, and service data collection deployments.
Height Adjustability: 1260 to 1680 mm
The G1-D's adjustable height — between 1,260 and 1,680 mm — enables the upper body to match different workstation heights, counter heights, and shelving configurations without repositioning the entire mobile base. This height adjustability is critical for data collection across diverse task environments: the robot must be able to reach the specific height of the work surface where the task is performed to generate visually valid training data.
17 to 19 Degrees of Freedom
The G1-D's DOF count is lower than the bipedal G1 EDU family because it does not include the leg DOF that account for 12 of the bipedal G1's total. Without legs, the G1-D's upper body provides:
Standard (17 DOF): Arms and upper body without mobile base actuation DOF. Flagship (19 DOF): Arms and upper body with the mobile base DOF included in the total count.
The arm DOF configuration — with 7 DOF per arm confirmed by Gizmochina's launch coverage — provides the full shoulder-to-wrist workspace needed for manipulation tasks, and the wrist DOF enables the hand to approach objects from any orientation within the arm's reach envelope.
Binocular Head Camera and Dual Wrist Cameras
The G1-D's camera system is specifically designed for manipulation data collection quality:
HD binocular head camera: Provides stereo depth perception from the robot's egocentric viewpoint — the perspective from which an operator using VR teleoperation sees the workspace and the manipulated objects.
HD wrist cameras (one per arm): Mounted at the wrist, these cameras capture the near-field view of the hand-object interaction — the visual data most informative for training grasping and manipulation policies. Wrist cameras see the object from the same perspective the hand approaches it, providing the visual observation data that corresponds directly to the hand configuration and contact events that manipulation AI policies must learn from.
This three-camera configuration — binocular head plus bilateral wrists — captures the complete visual observation needed for both policy learning (what did the robot see when it made each decision?) and behavior cloning (what did the human demonstrator see when they performed each action?).
Technology and Specifications
G1-D Full Specifications
| Specification | Standard | Flagship |
|---|---|---|
| Height | 1,260–1,680 mm | 1,260–1,680 mm |
| Weight | Up to 80 kg | Up to 80 kg |
| Total DOF | 17 | 19 |
| Arm DOF | 7 per arm | 7 per arm |
| Mobile Base | Stationary | Differential drive |
| Mobile Speed | N/A | Up to 1.5 m/s |
| Base Sensors | N/A | LiDAR, depth cameras, collision detection |
| Battery Runtime | Standard | Up to 6 hours |
| AI Compute | NVIDIA Jetson Orin NX (100 TOPS) | NVIDIA Jetson Orin NX (100 TOPS) |
| Head Camera | HD binocular | HD binocular |
| Wrist Cameras | HD (one per wrist) | HD (one per wrist) |
| End-Effector Options | 2-finger, Dex3-1, Dex3-1+tactile, 5-finger | 2-finger, Dex3-1, Dex3-1+tactile, 5-finger |
| SDK | Full (data collection + AI training framework) | Full (data collection + AI training framework) |
Modular End-Effector System
The G1-D's modular end-effector design is central to its data collection value proposition. Four end-effector configurations are supported:
Two-finger gripper: The simplest configuration for pick-and-place tasks requiring robust grasping of standardized objects. Suitable for logistics sorting, object transport, and basic manipulation data collection where full dexterity is not the research objective.
Dex3-1 three-finger hands (without tactile): Force-position controlled three-finger manipulation for data collection of grasping tasks across diverse object shapes, covering the grasping patterns that three-finger kinematic analysis enables.
Dex3-1 three-finger hands with tactile sensors: Same kinematic configuration with distributed contact pressure sensing — enabling data collection that captures not only visual and joint state observations but also the contact force distribution during grasps, providing richer training data for tactile-aware manipulation policy development.
Five-finger dexterous hands: For data collection of tasks requiring the full human grasp taxonomy — tool use, fine manipulation, and complex multi-finger coordination — where the three-finger configuration cannot reproduce the demonstrator's hand posture.
NVIDIA Jetson Orin NX (100 TOPS) and Data Collection Software
The Jetson Orin NX provides 100 TOPS of GPU-accelerated compute for on-device processing during data collection sessions: real-time visual perception, teleoperation policy assistance (where the robot's AI helps guide the teleoperator toward successful grasps), and data annotation (labeling captured frames with object categories, task stages, and success outcomes).
Unitree's data collection software framework — which integrates with the G1-D hardware — provides tools for managing the complete AI workflow: session management, synchronized multi-modal data recording (joint state, camera streams, tactile sensor data), data annotation workflows, and training pipeline integration. This full-stack software differentiates the G1-D from robots that capture raw data without an integrated pipeline for converting that data into trained AI models.
Roller Skate and Ice Skate Demonstrations: Adaptive Locomotion Interface
The April 2026 demonstration of the G1-D on roller skates and ice skates reveals a design characteristic of the G1-D's wheeled-leg integration: the control architecture is generalized enough to manage balance and locomotion across different wheel-like locomotion interfaces. On roller skates, the robot executes 360-degree turns and one-leg spins; on ice skates, it maintains balance on narrow blade contacts. A front flip — demonstrated on wheels — extends the athletic capability into the vertical plane.
Interesting Engineering's coverage quotes Unitree: "Humanoid robots are the ideal form of general-purpose robots (perfect for general AI and human-derived data). They can work without wheels — but they can also have wheels if they want. Whatever works." This design philosophy — agnosticism between wheeled and legged locomotion — reflects the G1-D's positioning as a platform where capability coverage matters more than locomotion purity.
Applications and Use Cases
Large-Scale Manipulation Data Collection
The G1-D's primary designed application is generating manipulation training data for humanoid AI. Research institutions and AI companies developing general-purpose robot manipulation policies require millions of labeled robot demonstration episodes across hundreds of object categories and task types. The G1-D's 6-hour Flagship battery, stable wheeled base, multi-camera configuration, and integrated data management software enable sustained data collection workflows at a scale that bipedal teleoperation systems cannot efficiently achieve.
Industrial and Service Task Execution
The G1-D Flagship's 1.5 m/s mobile base, LiDAR navigation, and modular end-effectors make it suitable for deployment in industrial logistics, warehouse operations, and service environments where the robot must navigate between workstations and perform manipulation tasks across a facility. Applications include inventory inspection, object sorting and transport, shelf restocking, and quality inspection support.
Warehouse Automation
The Flagship's combination of autonomous navigation (LiDAR + depth camera mobile base) and modular manipulation end-effectors addresses warehouse automation tasks — order picking, bin handling, parcel sorting — in a wheeled humanoid form factor that navigates standard warehouse aisles without the terrain limitations of legged-only platforms.
Retail and Consumer Interaction
With the five-finger dexterous hand option and HD visual system, the G1-D is suitable for retail environments where the robot interacts with customers, retrieves products from shelves, and handles the full diversity of retail product shapes and packaging materials. The wheeled base's stability compared to bipedal operation provides reliability for sustained retail deployment.
Research: Wheeled-Legged Hybrid Locomotion Control
The roller skate and ice skate demonstrations position the G1-D as a research substrate for wheeled-legged hybrid locomotion control — an increasingly active research area studying how robots can efficiently coordinate wheel and leg actuation for different terrain and surface conditions. For research teams studying this hybrid locomotion domain, the G1-D provides a commercially available platform with demonstrated performance in unconventional locomotion interfaces.
Advantages and Benefits
6-Hour Flagship Battery for Full-Shift Data Collection: The Flagship's 6-hour runtime enables complete shift-length data collection sessions without mid-session battery interruptions — more than triple the G1 bipedal's 2-hour runtime for the same platform size.
Stable Wheeled Base Eliminates Bipedal Balance Overhead: Wheeled locomotion eliminates the computational and operational overhead of continuous bipedal balance management, enabling the robot's full compute capacity and the teleoperator's full attention to be devoted to manipulation quality rather than balance management.
Dual Wrist Cameras for High-Quality Manipulation Training Data: The wrist-mounted cameras capture the hand-object visual perspective that directly corresponds to manipulation policy inputs — a critical data quality advantage for training generalizable grasping AI.
Height-Adjustable Upper Body for Multi-Workstation Deployment: The 1,260 to 1,680 mm height range enables the G1-D to match diverse workstation heights across different data collection sites without hardware modification.
Modular End-Effectors for Task-Specific Data Collection: The four end-effector options — two-finger, Dex3-1, Dex3-1+tactile, five-finger — configure the platform for data collection across different manipulation research objectives within the same hardware investment.
Full-Stack Data Collection Software Framework: The integrated software for session management, multi-modal data recording, annotation, and training pipeline integration reduces the operational overhead of running large-scale data collection programs.
Comparison: G1-D vs. Bipedal G1 EDU
| Feature | G1 EDU Bipedal | G1-D Wheeled |
|---|---|---|
| Locomotion | Bipedal walking | Wheeled differential drive |
| Max Speed | 2 m/s (walking) | 1.5 m/s (Flagship) |
| Battery Runtime | ~2 hours | Up to 6 hours (Flagship) |
| Total DOF | 23 to 43 | 17 to 19 |
| Wrist Cameras | No | Yes (HD, bilateral) |
| Primary Use | Research, manipulation | Data collection, AI training |
| Terrain Capability | Stairs, ramps, outdoor | Flat floor, indoor |
| End-Effector Options | Multiple | Multiple (same options) |
| AI Compute | 100 TOPS (EDU) | 100 TOPS |
| Full SDK | Yes (EDU) | Yes |
The G1-D's longer battery life, wrist cameras, and data-collection-optimized software make it the superior platform for AI training data generation. The bipedal G1 EDU's stairs and terrain capability make it superior for research requiring outdoor locomotion and multi-level environment navigation.
Frequently Asked Questions (FAQ)
What is the Unitree G1-D? The Unitree G1-D is Unitree Robotics' first wheeled humanoid robot, launched in November 2025. It combines a human-like upper body with dual 7-DOF arms on a wheeled mobile base, designed primarily for large-scale data collection, AI model training, and real-world task execution. It is available in Standard (stationary, 17 DOF) and Flagship (mobile differential drive at 1.5 m/s, 19 DOF, up to 6-hour battery) versions. Height adjusts between 1,260 and 1,680 mm. It includes HD binocular head cameras and HD wrist cameras, NVIDIA Jetson Orin NX (100 TOPS), and supports modular end-effectors including two-finger grippers, Dex3-1 three-finger hands with or without tactile sensors, and five-finger dexterous hands.
How does the Unitree G1-D differ from the bipedal G1? The bipedal G1 uses legs for locomotion, providing stair climbing, outdoor terrain navigation, and up to 43 DOF across the full body at approximately 2 hours of battery runtime. The G1-D uses a wheeled base for locomotion, providing up to 1.5 m/s on flat surfaces with up to 6 hours of battery runtime at 17 to 19 DOF in the arms and upper body. The G1-D adds wrist cameras for manipulation data quality that the bipedal G1 lacks, and integrates with a dedicated data collection and AI training software framework. The G1-D is optimized for sustained data collection and task execution on flat industrial floors; the bipedal G1 is optimized for research requiring terrain versatility.
What did the Unitree G1-D roller skate and ice skate demonstration show? An April 2026 video showed the G1-D performing on roller skates and ice skates — executing 360-degree turns, one-leg spins, and front flips on wheels, and maintaining balance on narrow ice skate blade contacts. The demonstration illustrates the G1-D's wheeled-legged control architecture's ability to generalize balance and locomotion coordination to different wheel-like locomotion interfaces beyond its standard wheeled base, and reflects Unitree's design philosophy that humanoid robots should be able to use "whatever works" for locomotion in different contexts.
What end-effectors does the G1-D support? The G1-D supports four modular end-effector configurations: a two-finger gripper for robust pick-and-place of standardized objects; Dex3-1 three-finger dexterous hands without tactile sensors; Dex3-1 three-finger hands with integrated tactile sensor arrays; and five-finger dexterous hands for full human grasp taxonomy coverage. The modular design allows the same G1-D base platform to be configured for different data collection research objectives by swapping end-effectors.
Summary
The Unitree G1-D Wheeled Humanoid Robot represents Unitree's first purpose-designed data collection and task execution humanoid platform — combining a human-like upper body with 7-DOF dual arms, HD binocular head cameras, bilateral HD wrist cameras, NVIDIA Jetson Orin NX (100 TOPS) compute, and a modular end-effector system on a wheeled mobile base that achieves up to 1.5 m/s and up to 6 hours of operational endurance in the Flagship configuration. Launched in November 2025 and demonstrated performing on roller skates and ice skates in April 2026, the G1-D addresses the large-scale AI training data generation challenge that bipedal humanoid platforms cannot efficiently solve due to their limited battery endurance and balance management overhead. For AI research organizations, manufacturing firms developing humanoid robot policies, and data collection service providers needing a sustained, stable, wrist-camera-equipped manipulation data platform, the G1-D represents a commercially available and well-supported entry into the specialized wheeled humanoid data platform category.
