Mechatronics Lab Research Platforms Development

To equip the next generation of engineers with practical knowledge, we delivered three advanced robotics platforms to the University of Peradeniya—designed to bring theory to life through hands-on experimentation. Featuring an Underwater Robot, Twin-Rotor Lab Platform, and Self-Balancing Robot, each system demonstrates real-world applications in robotics, navigation, and dynamic control.

Mechatronics Lab Research Platforms Development
Underwater Robot Development
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We designed and fabricated an advanced underwater robot, combining mechanical innovation with cutting-edge electronics and algorithms. The robot is rated for depths of up to 100 meters and features 6 Degrees of Freedom (DOF) for superior operating and stabilizing capabilities. It includes a built-in camera and allows for the attachment of external underwater cameras, making it suitable for diverse applications such as marine exploration, inspections, and research. Our work encompassed mechanical design, fabrication, PCB design, firmware programming, and algorithm development to deliver a robust and versatile solution.
Twin-Rotor Laboratory Platform
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We designed and fabricated a twin-rotor platform as laboratory equipment, providing an advanced system for testing and research purposes. The project included mechanical design, fabrication, PCB design, and the development of firmware and algorithms. This platform is ideal for simulating and studying control systems, aerodynamics, and rotor dynamics in an academic or research environment.
Balancing Robot Platform
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We developed a two-wheeled self-balancing robot platform equipped with motion sensors, motor drivers, and real-time control algorithms. Designed as a modular and programmable unit, the robot serves as an ideal platform for research, education, and experimentation in robotics, control systems, and AI navigation. It maintains balance using feedback from an IMU and can be expanded with wireless communication, vision modules, or autonomous behavior.
Navigation Controller
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The Navigation Controller is a high-performance module built for robotics and unmanned vehicle control applications, including drones, self-balancing robots, and autonomous vehicles. It integrates advanced sensors, multiple communication interfaces, and precise actuator control, making it an ideal solution for real-time navigation and motion control.

Key Features

  • Power Input: 5V DC
  • Multiple Communication Interfaces: Supports I2C, SPI, UART, and CAN for seamless sensor and peripheral integration.
  • Inbuilt Sensors:
  • Two 9-axis IMUs for accurate motion tracking
  • Two magnetometers for precise heading estimation
  • Two barometers for altitude measurement
  • Can connect external GPS modules

Actuator Control

  • 12-channel PWM output driver for controlling BLDC motors, servo motors, and other actuators.
  • One PPM/PWM input channel for remote control inputs.

Processing Power

  • Onboard high-performance MCU for executing control algorithms and managing actuator operations in real time.

Compatibility

  • Can directly interface with single-board computers like Raspberry Pi and NVIDIA Jetson, enabling advanced AI and automation applications.

Technologies Used

  • 3D mechanical design and simulation
  • STM32 / Arduino Microcontrollers – for embedded control, sensor integration, and real-time processing.
  • Custom PCB Design – for efficient power distribution and communication between components.
  • C/C++ & Embedded Firmware – for motor control, sensor data processing, and algorithm implementation.
  • ROS (Robot Operating System) –for modular software architecture and communication
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