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Large-scale ROS research robotProduct Brochure

T280 Brushless 4-Wheel Drive Robot

Four-Wheel Independent Drive and Steering

Product Details

T280 Brushless 4-Wheel 4WD Robot Product Image

Product Overview

T280 is a four-wheel, four-steering mobile chassis designed for embodied AI. Each wheel features independent drive and steering with a ±170° range and mechanical stops, enabling specialized maneuvers like in-place turning and crab walking.

The drive uses a servo hub motor. Steering is executed by a brushless servo motor with absolute encoder feedback for angle measurement. The LiDAR can be configured as single-line or 32-line multi-line, facilitating mapping, navigation, and multimodal perception research.

Other models in the same series

Key Features

  • Four independent wheel drives + four independent wheel steers: enables in-place turning and zero turning radius.
  • Servo hub motor with absolute encoder feedback; steering angle ±170° (with limit switches)
  • LiDAR options: M10P single-line or Wanshi 32-line multi-line, compatible with embodied AI algorithms.

Typical Applications

  • Embodied AI and Large Model-Driven Mobile Manipulation Research
  • Omni-directional Kinematics Validation in Complex Terrain
  • Multi-line LiDAR Mapping and Localization Experiment

Technical Specifications (12Item

Dimensions
640×542×389.1mm
Chassis curb weight
50 kg
Tire
Diameter 103mm, tread width 38mm
Track / Wheelbase
330mm / 428mm
Maximum Speed
2.0m/s
Maximum Grade
20°
Maximum Obstacle Clearance Height
40mm
Steering Capability
Steering angle ±170° (with limit), capable of in-place turning
Drive Motor
4× Servo Hub Motor, Rated Voltage 24V, Single Motor Rated Power 120W
Steering Motor
4× Brushless Servo Motor with Absolute Encoder Position Feedback
LiDAR
None / M10P Single Line / Wanjie 32 Multi-Line (Optional)
Battery
2 4V LiFePO4 battery pack, capacity selected based on configuration

Specifications are subject to factory settings and the selection list; optional features and pricing are confirmed per project. Content on this page may be cited in course proposals and tender documents.

Beijing ICP License No. 2026026760