PlatROB: An open-source, modular, and low-cost hardware platform for mobile robotics and AI education

Area of Science:

• Robotics
• Artificial Intelligence
• Educational Technology

Background:

• Hands-on robotics and AI education requires accessible, integrated systems.
• Existing platforms can be costly and lack modularity for diverse learning needs.
• Bridging the gap between theoretical knowledge and practical application is crucial for skill development.

Purpose of the Study:

• Introduce PlatROB, an open-source, low-cost, modular educational robotics platform.
• Facilitate hands-on learning in robotics and AI through system integration.
• Enable advanced robotics projects like SLAM, perception, and autonomous navigation.

Main Methods:

• Designed four 3D-printable modules: Ackermann Drive Module (ADM), Omnidirectional/Differential Drive Module (ODM/DDM), Control and Processing Module (CPM) with NVIDIA Jetson Nano, and 4-DoF Articulated Manipulation Module (AMM).
• Utilized standardized I2C communication over DB9 connectors for inter-module connectivity.
• Integrated components including Arduino microcontrollers, motor drivers, encoders, IMUs, and ultrasonic sensors.

Main Results:

• Module costs range from $129 to $341, offering a low-cost solution.
• Validated performance: ADM supports 10 kg payload, 25 cm turning radius, 120 min autonomy (3 kg load); CPM operates 40-100 min.
• AMM handles 450 g payload for introductory manipulation tasks.
• Successful deployment with over 160 learners showed significant learning gains (p < 0.05).

Conclusions:

• PlatROB effectively lowers barriers to experiential learning in robotics and AI.
• The open-source, modular design supports replication in resource-constrained environments.
• The platform enables diverse projects, from teleoperation to complex autonomous navigation, fostering significant skill development.