Core Overview
The Lite 3 Basic serves as an open-source development platform. While it lacks the advanced autonomous navigation (LiDAR) found in the Pro versions, it utilizes the same high-torque joint technology, allowing it to perform complex maneuvers like jumps and flips with high stability.
Technical Specifications
| Feature | Specification |
| Dimensions (Standing) | 610 mm × 370 mm × 406 mm |
| Weight (with battery) | 12 kg |
| Max Payload | Up to 7.5 kg (continuous walking) |
| Max Speed | ~4.0 m/s (approx. 14.4 km/h) |
| Battery Life | 1.5 to 2 hours |
| Max Range | 5 km |
| Climbing Ability | 40° slope |
| Connectivity | Ethernet, SDK/API access |
Key Features
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High-Torque Performance: Equipped with proprietary joint modules that offer a 50% increase in torque compared to previous generations. This enables the “Basic” model to execute dynamic movements like 30 cm high jumps and front flips.
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Industrial-Grade Control: Features a control system with a 1 kHz frequency, providing real-time responsiveness and stability even on uneven terrain.
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Safety & Perception: The Basic model includes front and rear sensors for automatic obstacle stopping and visual following, ensuring it doesn’t collide with objects during manual operation.
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Development Ready: It is a “plug-and-play” research tool. Deep Robotics provides a comprehensive SDK, API, and URDF models, making it compatible for users wanting to develop custom locomotion algorithms or secondary applications.
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Modular Design: The flat-top chassis allows for the easy mounting of external hardware, such as robotic arms, additional sensors, or edge computing modules.
Is the “Basic” right for you?
The Basic version is ideal if your primary goal is locomotion research, remote-controlled inspections, or classroom demonstrations.
Note: If your project requires 3D mapping, autonomous path planning, or complex obstacle avoidance without human intervention, you may need to consider the Lite 3 Pro or Lite 3 LiDAR variants, which include the necessary onboard computing and depth sensors for those tasks.












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