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Weifen Zhifei C5

The Weifen Zhifei C5 is a lightweight educational and research flying robot for university teaching, autonomous flight experiments and competition training. It integrates lidar, a monocular camera and onboard computing, supports algorithm development and DIY shells, and comes with free C5 practical courses and an accompanying air–ground collaboration system.

Weifen Zhifei
Aircraft weight
≤1230g with battery; ≤930g without battery.

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Product overview

The Weifen Zhifei C5 is a lightweight educational and research flying robot for university teaching and practical research. Its compact body integrates lidar, a monocular camera and an onboard computing platform. Diff-Planner autonomous navigation and Faster-LIO localization and mapping combine with laser sensing and onboard computing to support environmental perception, path planning and autonomous flight experiments. The platform supports further algorithm development and DIY personalized shells, connecting software development, structural design and flight validation.

Free C5 practical courses accompany the flying robot, supporting teaching demonstrations, hands-on exercises and UAV course projects. An accompanying air–ground collaboration system supports experiments with unmanned ground vehicles and robot dogs, extending teaching and research across aerial and ground platforms. The C5 also supports competition training involving autonomous flight, algorithm development and multi-platform collaboration. Its flight controller uses PX4 firmware and has no onboard magnetometer.

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Specifications

SpecificationValue & conditions
Product type and applicationsWeifen Zhifei C5 lightweight educational and research flying robot for university teaching and research practice.
Integrated equipmentIntegrated lidar, monocular camera and onboard computing platform.
Algorithm and shell developmentOpen-source algorithms; support for further algorithm development and DIY personalized shells.
Accompanying courses and collaboration systemFree C5 practical courses and an accompanying air–ground collaboration system supporting experiments with unmanned ground vehicles and robot dogs.
Aircraft weight≤1230g with battery; ≤930g without battery.With battery: ≤1230g; without battery: ≤930g.
Aircraft dimensions324 × 324 × 182 mm.Including propeller guards.
Maximum takeoff weight1800g.
Maximum flight speed10m/s.
Hovering accuracy2cm.
Operating temperature0°C–40°C.
Battery specifications5000 mAh; 14.8 V; 74 Wh.
Onboard computer and AI performanceNVIDIA Jetson Orin Nano 8GB; 40 TOPS AI performance.
Computer CPU and GPU6-core Arm Cortex-A78AE 64-bit CPU, up to 1.7 GHz; NVIDIA Ampere architecture GPU.
Computer memory8 GB 128-bit LPDDR5; 102 GB/s bandwidth.
Software environment and algorithmsUbuntu 20.04; ROS Noetic 1.17.0; Diff-Planner autonomous navigation; Faster-LIO localization and mapping.
Expansion interfaces2 × USB 3.0 Type-C; 1 × UART; 1 × Gigabit Ethernet LAN.
Monocular camera model and field of viewRER-USBFHDO1M; 90° horizontal field of view.
Camera resolution, exposure and maximum frame rate1080P @30 fps; global exposure; maximum image frame rate 120 FPS.Resolution: 1080P at 30 fps.
Lidar model and field of viewLivox Mid-360; 360° horizontal field of view; −7° to 52° vertical field of view.
Lidar range40m @10% reflectivity; 70 m @80% reflectivity.40m at 10% reflectivity; 70 m at 80% reflectivity.
Lidar near blind zone0.1 m.
Lidar random errorsRange random error (1a): ≤2 cm @10m; ≤3 cm @0.2m. Angular random error (1a): ≤0.15°.Range random error measured at 10m and 0.2m, respectively.
Flight controller firmwarePX4.
Flight controller sensorsGyroscope: BMI088/BMI088(Dual); accelerometer: BMI088/BMI088(Dual); no onboard magnetometer; SPL06 barometer.
Flight controller processor and memorySTM32H743VIH6, 480 MHz; 1056 KB RAM; 2048 KB Flash.
Remote controller dimensions and weight165 × 120 × 70 mm; 204g.
Remote controller transmission frequency2.400–2.480 GHz.
Remote controller chargingBuilt-in USB-C charging.
Remote controller battery3.7V 18650 ×2.