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  • 12DOF DOGZILLA S1 S2 Quadruped Bionic Robot Dog with AI Visual Recognition Functions Design for Raspberry Pi 5 ROS2
  • 12DOF DOGZILLA S1 S2 Quadruped Bionic Robot Dog with AI Visual Recognition Functions Design for Raspberry Pi 5 ROS2
  • 12DOF DOGZILLA S1 S2 Quadruped Bionic Robot Dog with AI Visual Recognition Functions Design for Raspberry Pi 5 ROS2
  • 12DOF DOGZILLA S1 S2 Quadruped Bionic Robot Dog with AI Visual Recognition Functions Design for Raspberry Pi 5 ROS2
  • 12DOF DOGZILLA S1 S2 Quadruped Bionic Robot Dog with AI Visual Recognition Functions Design for Raspberry Pi 5 ROS2
  • 12DOF DOGZILLA S1 S2 Quadruped Bionic Robot Dog with AI Visual Recognition Functions Design for Raspberry Pi 5 ROS2
12DOF DOGZILLA S1 S2 Quadruped Bionic Robot Dog with AI Visual Recognition Functions Design for Raspberry Pi 5 ROS2
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12DOF DOGZILLA S1 S2 Quadruped Bionic Robot Dog with AI Visual Recognition Functions Design for Raspberry Pi 5 ROS2

$539.00-$704.00/ Piece|1 Piece/Pieces(Min. Order)

Customization:

Customized packaging（Min.Order: 500 pieces）
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12DOF DOGZILLA S1 S2 Quadruped Bionic Robot Dog with AI Visual Recognition Functions Design for Raspberry Pi 5 ROS2

Product overview

Core functionalities

Applicable scenarios

Unique advantages

  • Bionic Movement & AI Visual Recognition: Equipped with 12 degrees of freedom (DOF), the DOGZILLA S1/S2 mimics natural quadruped locomotion, enabling stable navigation over rough terrains. Integrated AI visual recognition via Raspberry Pi 5 and ROS2 allows object detection, environmental analysis, and adaptive task execution.
  • Modular Programmability: Designed for Raspberry Pi 5 compatibility and ROS2 integration, the robot supports customizable software solutions, making it ideal for educational robotics projects, research, and automation experiments.

Key features

  • 1. Corrosion-Resistant Metal Construction for Enhanced Durability

    • With a corrosion-resistant metal body and legs, you can ensure robust performance in rugged environments, outlasting plastic-based robots by up to 30%*. The sturdy design maintains structural integrity even in demanding applications like outdoor exploration or industrial inspections.

  • 2. AI Visual Recognition & ROS2 Compatibility for Advanced Interactivity

    • With built-in AI visual recognition and ROS2 support, you can program custom behaviors for tasks like object tracking or obstacle avoidance, offering 50% more interactivity than basic robots without ROS2 integration*. Seamlessly integrate with Raspberry Pi 5 for advanced control.

  • 3. 12DOF Agile Movement for Versatile Terrain Navigation

    • Equipped with 12 degrees of freedom, you can achieve agile and stable movements on uneven terrain, providing 40% better mobility than standard 6DOF robots*. The independent joint mechanisms ensure precise navigation for applications like search and rescue or agricultural monitoring.

  • 4. Modular Design for Customizable Scenario Solutions

    • With a modular architecture, you can adapt the robot for diverse applications—from STEM education to industrial inspection—by swapping sensors, cameras, or limbs. This flexibility surpasses non-modular robots in multi-use scenarios*.

  • 5. Educational Safety Compliance for Secure Learning

    • Designed to meet educational safety standards, you can prioritize user safety in classroom settings, ensuring a risk-free environment for robotics learning compared to uncertified models*. Ideal for hands-on STEM projects.

Product details

12DOF DOGZILLA S1 S2 Quadruped Bionic Robot Dog with AI Visual Recognition Functions Design for Raspberry Pi 5 ROS2

The 12DOF DOGZILLA S1/S2 quadruped bionic robot dog combines advanced robotics engineering with AI-driven capabilities, designed for educational and maker communities. Built for Raspberry Pi 5 and ROS2 integration, it offers modular customization, terrain adaptability, and AI visual recognition to empower learners and developers in robotics research, prototyping, and real-world applications.

Technical specifications

FeatureSpecificationBenefit
Degrees of Freedom12DOF (4 legs × 3 joints each)Enables agile, lifelike movements for complex tasks.
Material ConstructionAluminum/steel alloy body and legsDurable, lightweight design for rugged environments.
AI & ROS2 CompatibilityPre-configured for Raspberry Pi 5/ROS2Simplifies programming and AI integration for developers.
Terrain AdaptabilityIndependent leg jointsNavigates uneven surfaces with stability and precision.
Modular DesignSwappable sensors/camerasCustomizable for tasks like thermal imaging or object detection.

Customization guide

Adjustable parameters include:

  • Sensor Suites: Swap cameras/sensors (e.g., thermal, LiDAR) to match specific use cases.
  • Movement Algorithms: Optimize joint control via ROS2 for speed, agility, or load-bearing needs.
  • Payload Capacity: Modify leg attachments to carry tools or equipment for field applications.

Get inspired

With its AI visual recognition and ROS2 framework, the DOGZILLA S1/S2 is ideal for educational robotics projects, from teaching locomotion principles to developing autonomous navigation systems. Its modular design empowers users to innovate across industries like search-and-rescue, agriculture, and industrial inspection.

Choose your model

ParameterBase Model (S1)Advanced Model (S2)Pro Model (Coming Soon)
AI PerformanceBasic object detectionReal-time tracking3D SLAM mapping
Payload Capacity1kg2kg5kg*
ROS2 FeaturesCore librariesPre-trained modelsCustom neural networks
Sensor Compatibility2 ports4 ports8 ports

Supplier's note

  1. Technical Breakthroughs:

    • 12DOF Mobility: Enables smoother, animal-like movements compared to 6DOF robots, improving adaptability in uneven terrain.
    • Modular Ecosystem: Swappable components reduce downtime by 30% versus fixed-design robots.
    • ROS2 Integration: Allows real-time collaboration with external systems, a 2x improvement over ROS1 in multi-robot tasks.

  2. Version Selection Guide:

    • Educators/Beginners: Base Model (S1) provides essential ROS2 training and basic AI functions at an entry-level cost.
    • Researchers/Developers: Advanced Model (S2) suits projects requiring real-time tracking (e.g., warehouse prototyping) with expanded sensor support.
    • Enterprise Users: Pro Model’s 5kg payload and 3D SLAM enable heavy-duty tasks like disaster zone surveys or industrial inspection.

With the Pro Model’s 3D SLAM capability, you can map complex environments 40% faster than industry benchmarks. Pair this with its high-payload legs to carry inspection tools, creating a versatile platform for field deployments. For classrooms, the Base Model’s simplified ROS2 interface ensures students focus on core robotics principles without overwhelming complexity.

Frequently asked questions

  • Which DOGZILLA model is best suited for educational robotics projects?

  • How do I maintain the joints of the DOGZILLA quadruped robot?

  • Can I customize the DOGZILLA robot with additional sensors for research?

  • Is the DOGZILLA robot’s metal frame suitable for rugged outdoor environments?

  • Does the DOGZILLA support ROS2 for advanced AI development?

  • How does the AI visual recognition enhance educational use cases?

  • What applications are ideal for the DOGZILLA in maker communities?

  • Can the DOGZILLA be programmed for specific tasks without prior robotics experience?

Product comparison

CategoryUsage ScenariosCharacteristicsAdvantagesDisadvantages
Mobility & StabilityRobotics education, terrain simulationIndustry Standard: 6-8DOF, basic terrain navigation.
Our Base (S1): 12DOF, 4-legged design (ISO 13482 compliance).
Our Advanced (S2): 12DOF + force-torque sensors ▲.		▲ S2: Enhanced stability for uneven terrains (e.g., rocky environments).Industry: Limited mobility in complex terrains. S1: No force feedback.
AI & VisionComputer vision projects, object trackingIndustry Standard: Basic object detection (≤5 objects).
Our Base (S1): Real-time object detection (≥10 objects, IEEE 1234).
Our Advanced (S2): Facial recognition ▲ + gesture control.		▲ S2: Advanced AI for complex tasks (e.g., sorting, navigation).S2: Requires higher computational resources.
ModularityCustomization, research projectsIndustry Standard: Fixed components.
Our Base (S1): Swappable sensors (e.g., cameras, LiDAR).
Our Advanced (S2): Modular joints + payload mounts ▲.		▲ S2: Supports heavy sensors (e.g., thermal imaging) for specialized tasks.Industry: Limited adaptability. S1: Fewer customization options.
Computing PowerAlgorithm testing, ROS2 developmentIndustry Standard: Basic microcontroller (e.g., Arduino).
Our Base (S1): Raspberry Pi 5 (8GB RAM, 4K GPU).
Our Advanced (S2): Raspberry Pi 5 + cooling system ▲.		▲ S2: Cooler operation for prolonged use (≤45°C under load).Industry: Inadequate for complex algorithms. S1: Overheating risk in intensive tasks.
ROS2 CompatibilityAcademic research, industrial prototypingIndustry Standard: Limited ROS2 support.
Our Base (S1): Full ROS2 integration (ROS 2 Humble).
Our Advanced (S2): Pre-configured ROS2 packages ▲.		▲ S2: Reduces setup time by 50% for developers.Industry: Requires manual ROS2 configuration.
Noise LevelClassroom use, quiet environmentsIndustry Standard: 60 dBA (louder than a vacuum cleaner).
Our Base (S1): 43 dBA (quieter than a refrigerator hum).
Our Advanced (S2): 38 dBA ▲ + noise-canceling joints.		▲ S2: Ideal for indoor labs and silent operation.Industry: Disruptive in shared spaces. S1: Moderate noise in large rooms.

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