Educational Autonomous Forklift Platform
Our Educational Autonomous Forklift Platform is a compact, fully functional robotics prototype designed and built in-house to support advanced university-level robotics education and research.
Standing approximately 57 cm tall, this scaled forklift system replicates the core principles of industrial autonomous vehicles in a safe, accessible, and highly adaptable format, making it ideal for hands-on learning in robotics, automation, and intelligent systems.
Designed for Robotics Education
This platform is specifically developed for university courses in:
- Autonomous navigation
- SLAM (Simultaneous Localization and Mapping)
- Sensor fusion
- Computer vision
- ROS 2 development
- Control systems and motion planning
Students gain practical experience working with real-world robotics architectures in a manageable lab-scale system.
Advanced Sensor Configuration
The forklift can be equipped with:
- 2D LiDAR for navigation and mapping
- 3D LiDAR for advanced perception and environmental modeling
Optional front-mounted camera for distance estimation and vision-based applications
This flexible sensor setup enables everything from basic navigation exercises to advanced perception and AI experiments.
Modular & Service-Friendly Design
Nearly the entire mechanical structure is 3D printed, making the platform:
- Easy to repair
- Simple to modify
- Cost-efficient to maintain
- Ideal for rapid prototyping and student-led design changes
Spare parts can be reproduced quickly, and structural adjustments can be implemented without complex manufacturing processes.
Fully Integrated Robotics Architecture
The system is powered by:
- Raspberry Pi integrated directly with the drive system
- Dynamixel-based drivetrain for precise motion control
- Custom-built battery system
- Full support for ROS 2
This architecture provides a modern, industry-relevant software and hardware stack suitable for both teaching and research.