STEAM & ICT Projects

Robotics in Action: Exploring mBot & Makeblock Innovations

Name: mBot Educational Robot

Objective:

The primary objective of using the mBot is to engage students in hands-on learning experiences in coding, robotics, and problem-solving. Through interactive projects, students develop foundational skills in programming, engineering design, and computational thinking.

Introduction:

The mBot is a versatile educational robot designed by Makeblock, aimed at teaching coding and robotics to students of various ages. Equipped with sensors, motors, and programmable electronics, the mBot can be controlled through simple visual programming platforms such as mBlock (which is based on Scratch) or text-based coding languages. With its easy assembly and extensive customization options, the mBot allows students to explore robotics in a practical and engaging way, fostering interest in STEM fields. The robot can be programmed for various tasks, such as obstacle avoidance, line following, and remote-controlled operations, making it suitable for a range of educational activities.

Generations of Robotics: Evolution and Future Trends in Intelligent Automation

Objective

To understand the evolution of robotics through different generations, focusing on intelligent automation and exploring specific examples like the Alpha 1 and Iron Man Bots. This lesson will highlight the functions, mechanisms, and real-life applications of these robots in various industries and daily life.

Project Introduction: Understanding the Evolution of Robotics

Robotics has transformed the world, evolving through generations to redefine how humans interact with machines. This project explores the fascinating journey of robotics, focusing on intelligent automation and groundbreaking innovations. By examining specific examples like the Alpha 1 Bot and Iron Man Bot, students will gain insight into the mechanisms, functions, and real-life applications of modern robots.

Through this lesson, we will dive into how these robots are designed, how they operate, and how they contribute to industries such as healthcare, entertainment, manufacturing, and more. By understanding the evolution of robotics, students will appreciate the remarkable progress in intelligent automation and envision how robotics will shape the future of technology and everyday life.

Tankbot Smart Carrying Track Robot

Objective of the Project:

To demonstrate the Tankbot’s advanced capabilities as an intelligent carrying robot, showcasing its versatility in handling tasks through various control methods and sensors, while exploring its potential for creative applications and games.

Project Introduction:

Tankbot is a sophisticated robotic system powered by STM32, featuring a 6 DOF robotic arm and intelligent serial bus servos. It supports control through an app, handle, and somatosensory glove, enabling precise picking and transferring tasks. Equipped with multiple built-in sensors, including ultrasonic, sound, 4-channel line follower, and acceleration sensors, Tankbot is designed for both functional tasks and innovative, interactive games, making it a versatile tool for robotics enthusiasts and educators.

TurboPi AI Vision Robot Car

Objective of the Project:

To demonstrate the versatility of the TurboPi smart vision robot car, focusing on its AI-powered capabilities and advanced motion control using a Mecanum-wheel chassis. This project aims to showcase how robotics can be used in AI applications such as autonomous navigation, object detection, and machine learning, leveraging the power of Raspberry Pi and Python programming.

Project Introduction: 

TurboPi is an innovative smart vision robot car that combines the power of Raspberry Pi with advanced robotics technology. Built on a Mecanum-wheel chassis for omnidirectional movement, TurboPi features high-performance pan-tilt servos and an HD camera, allowing for precise control and real-time vision processing. Additionally, its 4-channel line follower enhances its ability to navigate complex environments autonomously. Programmable in Python, TurboPi opens up a wide range of AI applications, including object detection, machine learning, and intelligent decision-making. This project provides a glimpse into the future of AI-driven robotics through the capabilities of TurboPi.

PuppyPi Quadruped Robot with AI Vision

Objective of the Project:

To showcase the advanced robotics capabilities of the PuppyPi Quadruped Robot, integrating AI vision, real-time posture detection, and self-balancing mechanisms. This project aims to demonstrate how AI and robotics can be applied to create intelligent, responsive machines, exploring the use of Raspberry Pi and the Robot Operating System (ROS) in robotics.

Project Introduction:

The PuppyPi Quadruped Robot is a cutting-edge AI vision-powered robot that runs on a Raspberry Pi platform and is built using the Robot Operating System (ROS). Equipped with 8 high-performance stainless steel coreless servos, PuppyPi achieves rapid and precise movements, making it ideal for tasks requiring dexterity and stability. Its torque power of 8KG.cm allows it to handle challenging terrain, while its IMU sensor ensures real-time posture detection and self-balancing, enabling smooth, autonomous movements. Through this project, we explore the fusion of AI, vision systems, and robotics, offering an exciting look into the future of intelligent robots.

Edison robot

To explore the capabilities of the Edison robot as an engaging, programmable educational tool that introduces students to the fundamentals of robotics and coding. This project aims to demonstrate how Edison’s versatile features—including line tracking, obstacle detection, and barcode programming—enable students to learn problem-solving, logical thinking, and basic programming concepts in a hands-on environment. By using simple interfaces and block-based coding, Edison provides an accessible and interactive platform for enhancing STEM education and encouraging creativity in robotics.

 Project Introduction:

The Edison Robot is a compact, robust educational robot designed to introduce students to the exciting world of robotics and programming. With built-in sensors for obstacle detection, line tracking, and light sensing, Edison can perform a variety of interactive tasks, making it ideal for hands-on learning. Powered by an intuitive visual programming platform, Edison allows users to program its movements and actions using block-based coding, fostering an easy-to-understand approach to logic and sequence. This project demonstrates Edison’s potential to enhance classroom learning, providing students with a dynamic, engaging tool for exploring essential skills in science, technology, engineering, and mathematics (STEM). Through Edison, we investigate how accessible robotics can inspire curiosity, creativity, and problem-solving skills in young learners.

Tony Pi Pro

Objective of the Project:

To present the TonyPi Pro humanoid robot, highlighting its integration of AI vision and real-time motion detection. This project aims to demonstrate the application of robotics in humanoid motion control, machine vision, and deep learning, showcasing how TonyPi Pro can be used as an educational platform for AI and robotics research.

Project Introduction:

TonyPi Pro is a state-of-the-art humanoid robot powered by Raspberry Pi 4B/5, designed to push the boundaries of AI and robotics. Equipped with intelligent serial bus servos for fluid and precise movement, an HD camera for AI vision processing, and an IMU sensor for real-time pose detection, TonyPi Pro is built to replicate human-like motions. With its capabilities in machine vision, OpenCV, and deep learning, it serves as an ideal platform for exploring humanoid robotics, autonomous navigation, and advanced AI applications. This project showcases TonyPi Pro’s potential in transforming the field of robotics through its dynamic and intelligent design.

Arduino safety system for geometric

Objective:

To explore the capabilities of Arduino as a programmable educational tool for creating a safety system in a geometric city model. This project aims to demonstrate how Arduino’s versatile features—including sensors, actuators, and programmable logic—enable students to learn problem-solving, logical thinking, and basic programming concepts in a hands-on environment. By using accessible hardware and software, Arduino provides an interactive platform to enhance STEM education and foster creativity in developing real-world safety solutions.

Project Introduction:

This project uses Arduino to create a programmable safety system for a model city, allowing students to explore electronics and coding fundamentals. By integrating sensors and actuators, students can program Arduino to detect hazards, trigger alarms, and control lights, simulating real-world safety applications. This hands-on project provides an engaging way for students to develop skills in problem-solving, logical thinking, and STEM, while understanding the importance of safety systems in urban environments.

Mitu Robot

Objective: To showcase the interactive robotics capabilities of the Mitu educational robot, integrating AI-driven voice recognition, object detection, and gesture-based responses. This project aims to demonstrate how artificial intelligence, and robotics can be used to create engaging, educational tools, exploring the integration of programmable microcontrollers and user-friendly coding interfaces to enhance learning. Mitu serves as an example of how robotics can aid in hands-on STEM education by providing an interactive, approachable platform for students to explore basic principles of AI, robotics, and programming.

Project Introduction:

The Mitu Educational Robot is an innovative, AI-powered robot designed for interactive learning experiences, built on a versatile microcontroller platform. Equipped with advanced sensors for voice recognition, object detection, and gesture response, Mitu provides a dynamic, hands-on approach to exploring robotics and artificial intelligence in an educational setting. Its modular design includes high-precision motors, allowing smooth, precise movements, making it suitable for various tasks that require adaptability and real-time responsiveness. Mitu’s integration with programmable interfaces and its support for visual programming environments make it accessible for students to learn the fundamentals of robotics, coding, and AI. This project investigates the potential of AI-enhanced robotics in education, highlighting how interactive, responsive robots like Mitu can transform classrooms and inspire the next generation of STEM enthusiasts

LASER ENGRAVING MACHINE

Objective of the Project: 

To showcase the capabilities of the DAJA DJ 6 laser engraving machine, focusing on its precision and versatility in design and fabrication, making it ideal for creative projects and hands-on learning.

Project Introduction:

The DAJA DJ 6 is a compact and efficient laser engraving machine designed for high-precision engraving on various materials. It features user-friendly controls and supports multiple design formats, allowing for detailed customizations. This project demonstrates the machine’s use in creative arts, personalized designs, and STEAM education, highlighting its role in bringing digital designs to life with accuracy and ease.

Sense XR AI-Powered ARVR Robotics Controller with Merge Cube Integration

Objective:

To explore and interact with digital 3D models through AR/VR technology, using the SenseXR controller and Merge Cube. Students will learn to manipulate virtual objects in real-time, enhancing spatial awareness and gaining hands-on experience with complex concepts in subjects like science, math, and engineering. This activity aims to deepen understanding of abstract ideas by transforming them into immersive, tangible experiences.

Introduction to SenseXR with Merge Cube: Transforming Learning Through AR and VR

The SenseXR with Merge Cube brings learning to life through immersive Augmented Reality (AR) and Virtual Reality (VR) experiences, allowing students to interact with educational content in ways never before possible. SenseXR is a powerful, user-friendly controller that, when paired with the Merge Cube, offers a hands-on, 3D learning environment, transforming complex topics into engaging, accessible experiences.

With the Merge Cube, students can hold digital objects and environments in their hands, from exploring the layers of Earth to examining molecular structures in biology. SenseXR enhances this experience by providing precise control and interactivity, enabling students to manipulate,