Name: Unitree G1 Edu-U4- Humanoid Robot
Price: 900000 INR
Availability: InStock

Unitree G1 Edu-U4 Humanoid Robot – Available at Everse

Explore the Unitree G1 Edu-U4 Humanoid Robot, a cutting-edge robotic platform available through Everse. Engineered by Unitree, the G1 Edu-U4 combines advanced AI, exceptional mobility, and precise manipulation, making it an ideal solution for researchers, educators, and innovators in robotics, healthcare, and entertainment.

Realistic Motion and High-Degree Articulation

The Unitree G1 Edu-U4 achieves exceptional mobility through a precisely engineered skeletal system featuring between 23 and 43 joint motors, supporting an impressive 43 degrees of freedom (DOF). This extensive joint configuration includes enhanced waist flexibility with 3 DOF and highly articulated arms with 7 DOF each, allowing the robot to perform a wide range of human-like movements. Its biomechanics enable it to walk, turn, crouch, gesture, and balance with lifelike smoothness, making it highly suitable for real-world navigation and interaction scenarios. Weighing approximately 35 kg and standing ~132 cm tall, the G1 Edu-U4 maintains a human-scale form factor, which enhances its usability in environments designed for people. The mobility system is reinforced by a robust structural frame made of lightweight alloy and composite materials, enabling agile movement without compromising durability. A powerful 120N·m torque at the knee joint ensures that the robot can perform dynamic lower-body motions, such as lifting light payloads, maintaining stable postures, or navigating obstacles. Whether performing routine walking sequences or executing more complex movements in an interactive or experimental setting, the Edu-U4 delivers precision and realism. These capabilities support research in gait optimization, rehabilitation robotics, and advanced locomotion algorithms, allowing researchers and developers to explore the next frontier in human-robot interaction and mobility simulation.

Force-Controlled Dexterity for Delicate Manipulation

At the heart of the Unitree G1 Edu-U4’s manipulation capability are its two Dex3-1 dexterous hands, each equipped with three independently controlled fingers and tactile sensors. These hands use a force-position hybrid control approach that enables the robot to grasp, hold, and manipulate objects with sensitivity and precision. Unlike conventional grippers, the three-finger configuration allows for adaptive handling of various shapes and materials, closely mimicking how a human might use fingertips and grip variation to manage different objects. This makes the robot particularly effective in delicate tasks such as picking up fragile items, positioning tools, or interacting with objects that require subtle pressure control. The integrated tactile sensors provide real-time feedback on contact force and surface interaction, allowing the robot to adjust its grip dynamically to avoid slipping or applying excessive force. This level of manipulation is valuable in settings like surgical simulation, laboratory automation, or assistive care, where the accuracy of motion and force control are paramount. Additionally, the coordinated operation of both arms enables bimanual tasks—such as opening containers, performing symmetrical gestures, or manipulating two objects simultaneously—making the G1 Edu-U4 a powerful research platform for studies in dual-arm coordination, object recognition through touch, and adaptive manipulation strategies. Overall, these hands enable functional, expressive, and precise interactions, pushing robotic manipulation capabilities closer to the human standard.

Adaptive Intelligence and Onboard Learning

The Unitree G1 Edu-U4 is equipped with UnifoLM (Unitree Robot Unified Large Model), an advanced AI framework that supports imitation learning, reinforcement learning, and multimodal interaction. This AI architecture enables the robot to perform context-aware decision-making, recognize patterns, and improve its behavior over time. With imitation learning, the G1 Edu-U4 can observe human actions and replicate them, allowing for intuitive programming through demonstration—a significant advantage in collaborative robotics and training environments. Reinforcement learning further empowers the robot to self-optimize by analyzing outcomes from past interactions and adjusting its behavior to improve task efficiency and safety. This learning loop makes the robot suitable for evolving environments and open-ended research experiments where adaptability is essential. The AI’s performance is underpinned by a 100Tops computing platform integrated into the robot's expansion dock, which allows real-time processing of complex sensor data, including vision, voice, and tactile feedback. The Edu-U4’s natural language processing engine supports voice commands, enabling intuitive human-robot communication, while its image recognition systems detect faces, objects, and environmental features for more responsive engagement. These capabilities allow the robot to function autonomously or as an intelligent assistant across a variety of domains, from education and healthcare to service robotics. Its cognitive flexibility and embedded AI tools make it not only a capable machine but also an active learning agent—ideal for experimentation in behavioral robotics, human-machine interaction, and AI-in-the-loop development.

Comprehensive Development Environment and Hardware Support

Designed for open innovation, the Unitree G1 Edu-U4 offers a development ecosystem that supports full software and hardware customization. It comes with an open SDK, robust APIs, and thorough documentation, enabling developers to program everything from low-level motor control to high-level decision-making algorithms. This level of access makes it a valuable platform for robotics engineers, computer scientists, and students working on AI, control systems, or human-robot interaction projects. The 100Tops processing dock also allows the execution of high-complexity models on-device, which is crucial for latency-sensitive tasks such as real-time vision processing or adaptive motion planning. Developers can access real-time data streams from tactile sensors, joint encoders, and depth cameras, which are vital for building closed-loop control systems and conducting machine learning experiments. The modularity of the platform allows users to expand or reconfigure the robot’s sensor suite, integrate third-party hardware, or build custom attachments for specific applications. The Edu-U4 supports integration with popular development environments and simulation tools, including ROS (Robot Operating System), enabling easy prototyping, testing, and transition from virtual models to real-world execution. This development flexibility makes the robot an ideal testbed for exploring novel algorithms in path planning, collaborative AI, gesture recognition, or robotic perception. Whether in an academic research lab or an advanced prototyping facility, the G1 Edu-U4 provides a deeply programmable, extensible platform for accelerating the development and testing of future-forward robotic technologies.

Integrated Power, Connectivity, and Operational Reliability

The Unitree G1 Edu-U4 is built to function reliably in diverse environments thanks to its self-contained power and connectivity systems. Its rechargeable lithium-ion battery provides between one and two hours of runtime, depending on usage intensity, and is supported by a fast-charging system that enables quick redeployment. The inclusion of a localized air-cooling system ensures thermal stability during high-performance tasks, safeguarding the internal electronics and processors during continuous operation. On the connectivity side, the Edu-U4 features both Wi-Fi and Bluetooth interfaces, making it easy to network with other systems, stream data, receive firmware updates, or remotely control the robot in live environments. These connectivity options allow the robot to be integrated into larger Internet of Things (IoT) infrastructures, classroom networks, or cloud platforms for extended computing and storage. The onboard depth cameras and tactile sensor arrays give the robot the ability to navigate and interact with its surroundings autonomously, enhancing its suitability for tasks in unpredictable or human-centric environments. The seamless combination of mobility, sensing, AI processing, and communications allows the G1 Edu-U4 to perform consistently in scenarios ranging from collaborative learning and training to interactive exhibitions and hazard-prone inspections. Whether operated in standalone mode or as part of a larger robotic system, the Edu-U4 offers dependable uptime, robust real-time data handling, and efficient energy use, making it a practical and intelligent solution for both short-term experiments and long-term deployments.

Key Features

Exceptional Mobility – With 23 to 43 joint motors and 43 degrees of freedom (DOF), including upgraded waist (3 DOF) and arm (7 DOF per arm) articulation, the G1 Edu-U4 delivers fluid, human-like movements for complex environments.
Precision Manipulation – Equipped with two Dex3-1 force-controlled three-finger dexterous hands with tactile sensors, the G1 Edu-U4 enables sensitive, accurate object handling via force-position hybrid control.
Advanced AI Technology – Powered by UnifoLM (Unitree Robot Unified Large Model), the G1 Edu-U4 supports imitation and reinforcement learning, fostering intelligent decision-making and seamless human-robot collaboration.
Developer-Friendly Platform – Features a built-in expansion dock with 100Tops computing power, supporting high- and low-level secondary development with AI algorithms, comprehensive manuals, and technical support.
Seamless Connectivity – Wi-Fi and Bluetooth ensure effortless integration with external systems, enhancing versatility for research and prototyping.
Reliable Power System – A rechargeable lithium-ion battery provides 1–2 hours of runtime, supported by a fast-charging system to minimize downtime.

Applications

The Unitree G1 Edu-U4 excels in a variety of innovative settings –

Research & Development – Its flexible structure and advanced joint configurations make it a premier platform for studying locomotion, manipulation, and AI-driven robotics.
Healthcare Assistance – With precise dexterous hands, the G1 Edu-U4 handles delicate medical tools or supports rehabilitation tasks, showing promise for surgical and therapeutic applications.
Hazardous Environments – Its remote-control capabilities and robust design enable safe inspections and material handling in disaster zones or nuclear facilities.
Entertainment & Performance – The G1 Edu-U4’s lifelike movements captivate audiences in interactive performances or theme park installations.
Education & Training – An exceptional tool for teaching robotics, AI, and engineering, its programmable features support hands-on learning in academic settings.

Unitree G1 Edu-U4 in the Lineup

The G1 Edu-U4 builds on the core capabilities of the standard G1 model, with enhancements like 43 DOF, a 120N·m knee joint torque, and three-finger dexterous hands. Compared to the heavier, industrial-grade H1, the G1 Edu-U4 prioritizes flexibility and customization for research and education, offering an accessible entry into advanced humanoid robotics.

Technical Specifications

Height – ~132 cm (estimated, based on human-scale design)
Weight – ~35 kg (77 lb, based on G1 series specifications)
Degrees of Freedom (DOF) – 43 joints (3 waist, 7 per arm, plus dexterous hands)
Joint Motors – 23–43 motors for enhanced agility
Material – Lightweight alloy and composite frame
Mobility – Advanced movements including walking, running, and complex gestures
Knee Joint Torque – Maximum 120N·m
Arm Load Capacity – Maximum 3 kg
Dexterous Hands – Two Dex3-1 force-controlled three-finger hands with tactile sensors
AI – UnifoLM (Unitree Robot Unified Large Model) with imitation and reinforcement learning
Computing Power – 100Tops via built-in expansion dock, supporting secondary development
Sensors – Depth cameras and tactile sensor arrays for navigation and interaction
Voice Recognition – Natural language command processing
Image Recognition – Face and object detection
Battery– Rechargeable lithium-ion (1–2 hours runtime)
Charging – Fast-charging system
Connectivity – Wi-Fi, Bluetooth
Development Support – Open SDK, APIs, and comprehensive technical manuals for high- and low-level secondary development
Warranty – One-year warranty for the entire machine
Use Cases – Research, healthcare, hazardous environments, entertainment, education

Why Shop with Everse?

Everse is your trusted retailer for advanced robotics, offering the Unitree G1 Edu-U4 with exceptional customer support. Our team is dedicated to helping you select the perfect robotic solution for your research, educational, or creative projects. With Everse, you benefit from cutting-edge technology, comprehensive technical support, and a one-year warranty. Shop confidently and embrace the future of robotics.

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Transform your robotics journey with the Unitree G1 Edu-U4, available now at Everse.

Specifications of Unitree G1 Edu-U4- Humanoid Robot

− ⊕ Material Dimensions

Height, Width, and Thickness (Stand): 1520×450×200mm
Height, Width, and Thickness (Fold): 690×450×200mm
Weight (With Battery): About 35kg
Total Degree of Freedom (Joint Freedom): G1 – 23 | G1 EDU – 23–43
Single Leg Degrees of Freedom: 6
Waist Degrees of Freedom: G1 – 1 | G1 EDU – 1 + (Optional 2 additional)
Single Arm Degrees of Freedom: G1 – 5 | G1 EDU – 6
Single Hand Degrees of Freedom: G1 – / | G1 EDU – 7 (Optional, Force-controlled three-fingered hand)
Dexterous Hand (Dex3):
- Thumb: 4 active degrees of freedom
- Index finger: 2 active degrees
- Middle finger: 5 active degrees
- Optional tactile sensor array installation
- 2 optional additional wrist degrees of freedom
Joint Output Bearing: Industrial grade crossed roller bearings (high precision, high load capacity)
Joint Motor: Low inertia high-speed internal rotor PMSM (better response speed and heat dissipation)
Maximum Torque of Knee Joint: G1 – 90N·m | G1 EDU – 120N·m
Arm Maximum Load: G1 – About 2kg | G1 EDU – About 3kg
Calf + Thigh Length: 0.84m
Arm Span: About 0.45m
Extra Large Joint Movement Space:
- G1:
  - Waist joint: ±115°
  - Knee joint: ±90°
  - Hip joints: Pitch = ±15°, Roll = ±90°, Yaw = ±180°
- G1 EDU:
  - Waist joint: Z = ±115°, X = ±45°, Y = ±30°
  - Knee joint: ±90°
  - Hip joints: Pitch = ±45°, Roll = ±170°, Yaw = ±180°
  - Wrist joint: Roll = ±90°, Yaw = ±90°

− ⊕ Electrical Characteristics

Full Joint Hollow Electrical Routing: G1 – YES | G1 EDU – YES
Joint Encoder: G1 – Dual encoder | G1 EDU – Dual encoder
Cooling System: G1 – Local air cooling | G1 EDU – Local air cooling
Power Supply: G1 – 13-string lithium battery | G1 EDU – 13-string lithium battery
Basic Computing Power: G1 – 9-core high-performance CPU | G1 EDU – 8-core high-performance CPU
Sensing Sensor: G1 – Depth Camera + 3D LiDAR | G1 EDU – Depth Camera + 3D LiDAR
4 Microphone Array: G1 – YES | G1 EDU – YES
5W Speaker: G1 – YES | G1 EDU – YES

− ⊕ Accessories

WiFi 6, Bluetooth 5.2: G1 – YES | G1 EDU – YES
High Computing Power Module: G1 – / | G1 EDU – NVIDIA Jetson Orin
Smart Battery (Quick Release): G1 – 9000mAh | G1 EDU – 9000mAh
Charger: G1 – 54V 5A | G1 EDU – 54V 5A
Manual Controller: G1 – YES | G1 EDU – YES

− ⊕ AI and Other Features

Battery Life: G1 – About 2h | G1 EDU – About 2h
Upgraded Intelligent OTA: G1 – YES | G1 EDU – YES
Secondary Development: G1 – YES | G1 EDU – YES

Frequently Asked Questions (FAQs)

How does the AI-driven imitation and reinforcement learning system in the Unitree G1 Edu enhance its task efficiency?

The Unitree G1 Edu employs AI-powered imitation learning to replicate human movements and reinforcement learning to improve its decision-making over time. This system allows it to adapt to various environments, making it capable of handling complex tasks with greater efficiency and accuracy than traditional programming alone.

What specific force control techniques are utilized in the Unitree G1 Edu’s dexterous hand, and how do they impact its manipulation capabilities?

The Unitree G1 Edu’s hand integrates force-position hybrid control, which allows it to adjust its grip strength based on the feedback from the object it’s handling. This enables delicate manipulation, similar to human touch, making it suitable for tasks like assembling small parts or handling fragile items in healthcare.

How does the Unitree G1 Edu’s dual encoder system contribute to its motion accuracy and stability?

The dual encoder provides precise feedback for each joint’s position, enhancing accuracy in movement and stability under dynamic conditions. This system helps maintain balance and control, which is crucial for tasks that require consistent force and coordination, especially in unpredictable environments.

What challenges might arise in programming the Unitree G1 Edu for custom tasks, given its high degrees of freedom?

With 23–43 degrees of freedom, the Unitree G1 Edu’s complexity can make custom programming challenging. Developers need to manage each joint and actuator, which requires sophisticated algorithms for coordinated movement, especially in tasks involving multiple simultaneous actions.

How does the Unitree G1 Edu’s design mitigate potential issues of overheating during prolonged operation?

The Unitree G1 Edu includes a local air-cooling system, which helps maintain optimal operating temperatures. This system prevents overheating during continuous usage, such as in research labs or during long inspection tasks in hazardous environments.

What are the limitations of the Unitree G1 Edu’s 3D LiDAR and depth camera in navigation and object detection?

While 3D LiDAR and depth cameras provide spatial awareness and obstacle detection, their effectiveness can be limited by environmental factors like low lighting or reflective surfaces, which may cause inaccurate readings. The Unitree G1 Edu may require additional sensor data for tasks in highly variable or cluttered environments.

In what ways can secondary development enhance the Unitree G1 Edu’s performance in specialized applications?

Secondary development allows users to write custom code, tailoring the Unitree G1 Edu’s performance to specific needs, such as custom locomotion patterns or sensor integration for industry-specific tasks. This flexibility makes it highly adaptable, though advanced programming knowledge is essential for effective customization.

What safety measures are in place to prevent damage or malfunction in hazardous or unpredictable environments?

The Unitree G1 Edu is equipped with collision detection and force control, which help it avoid obstacles and regulate the strength of its movements to prevent damage. Additionally, remote control capabilities allow human operators to override actions in emergency situations.