This page is migrated from a public Academy4Tech project record and reorganized for clarity. Unverified build values have not been invented.
Documented hardware
- Jetson Nano
- Arduino Uno
- NEO-6M GPS
- MPU-6050 IMU
- L298D motor driver
- 2S lithium-ion battery
- DC-DC buck converter
- KY-040 rotary encoders
- 2D LiDAR
- HC-SR04 ultrasonic sensor
- Logitech F710 controller
Documented software
- ROS
- Linux
Project overview
WildeBeest Pro is described on the original Academy4Tech site as an open-source robotics platform created to help students and graduates develop an autonomous robot.
The platform combines a Linux-capable computer, a microcontroller, navigation sensors, range sensors and teleoperation hardware. Together, those subsystems provide a useful base for learning perception, control, localization and navigation.
Documented hardware
| Subsystem | Documented component |
|---|---|
| Main compute | NVIDIA Jetson Nano |
| Microcontroller | Arduino Uno |
| Position | NEO-6M GPS |
| Motion sensing | MPU-6050 IMU |
| Motor drive | L298D |
| Power | 2S Li-ion battery and DC-DC buck converter |
| Odometry | KY-040 rotary encoders |
| Range sensing | Custom 2D LiDAR and HC-SR04 ultrasonic sensor |
| Teleoperation | Logitech F710 controller |
Suggested system flow
The Jetson Nano can run the high-level robotics software while the Arduino handles direct hardware interfaces. GPS, IMU, encoder, LiDAR and ultrasonic data can feed localization and obstacle-awareness components. The Logitech controller provides a manual test and teleoperation path.
The original page does not document wiring, firmware versions, safety limits or validated build steps. Use the repository as the primary technical source before powering hardware.
Source
Explore the available project files in the WildeBeest Pro GitHub repository.