Course Home Boxing ROBOTS Course Informations Robot – Boxing Robot Total Enroll – 10+ Thousands Duration – 90 Hours Requirements Basic knowledge of electronics Understanding of Arduino or any microcontroller A laptop for programming the robot Interest in robotics & mechanical design Sessions Introduction to Boxing Robots Understanding robot chassis & stability Study of servo motors & high-torque mechanisms Designing punching arms & movement systems Installing sensors (Ultrasonic, IR, Accelerometer) Controller board overview (Arduino / ESP32) Programming movement algorithms Programming attack & defense logic Integrating AI-based decision-making Assembling the complete robot Testing motor accuracy & speed Performance tuning & calibrations Attack/defense training sessions Final robot fight session Course Info Announcements About Course Building your own Boxing Robot is an exciting and highly educational experience. You’ll learn how mechanical systems, sensors, and intelligent control algorithms work together to create a robot capable of performing fast movements, punches, and defensive actions. In this course, we guide you step-by-step through the entire process of creating a fully functional boxing robot. From selecting the right components to assembling and programming powerful movement algorithms, you’ll gain practical skills in robotics, electronics, and microcontroller programming. To begin, you’ll explore the essential components required to build a boxing robot. This includes the robot chassis, servo motors, control arms, sensors, microcontroller board, and battery pack. Each component plays an important role in determining speed, power, and stability during combat. Next, you’ll assemble the robot using structured mechanical guidelines. You’ll mount the motors, attach the punching arms, install sensors, and wire the controller board. Our step-by-step guidance ensures you build your robot safely and correctly. Once assembled, the robot must be programmed and tuned. You will learn how to write code for controlled movements, punching sequences, defensive responses, and sensor-based reactions. Using advanced algorithms, you will optimize your robot’s performance to achieve fast actions and superior accuracy. We’ll also cover safety procedures and maintenance tips to keep your robot in excellent working condition. Finally, the course concludes with practical fight sessions where you test your robot’s speed, strategy, and combat efficiency. By the end of this course, you’ll have the knowledge and skills to build, program, and operate your own boxing robot. Whether you’re pursuing robotics as a hobby or aiming for a future career, this course provides a strong technical foundation and hands-on experience. No Announcements Yet!! About Course Building your own Boxing Robot is an exciting and highly educational experience. You’ll learn how mechanical systems, sensors, and intelligent control algorithms work together to create a robot capable of performing fast movements, punches, and defensive actions. In this course, we guide you step-by-step through the entire process of creating a fully functional boxing robot. From selecting the right components to assembling and programming powerful movement algorithms, you’ll gain practical skills in robotics, electronics, and microcontroller programming. To begin, you’ll explore the essential components required to build a boxing robot. This includes the robot chassis, servo motors, control arms, sensors, microcontroller board, and battery pack. Each component plays an important role in determining speed, power, and stability during combat. Next, you’ll assemble the robot using structured mechanical guidelines. You’ll mount the motors, attach the punching arms, install sensors, and wire the controller board. Our step-by-step guidance ensures you build your robot safely and correctly. Once assembled, the robot must be programmed and tuned. You will learn how to write code for controlled movements, punching sequences, defensive responses, and sensor-based reactions. Using advanced algorithms, you will optimize your robot’s performance to achieve fast actions and superior accuracy. We’ll also cover safety procedures and maintenance tips to keep your robot in excellent working condition. Finally, the course concludes with practical fight sessions where you test your robot’s speed, strategy, and combat efficiency. By the end of this course, you’ll have the knowledge and skills to build, program, and operate your own boxing robot. Whether you’re pursuing robotics as a hobby or aiming for a future career, this course provides a strong technical foundation and hands-on experience. No Announcements Yet!!

Course Home Bionic Robot Dogs Course Informations Robot – Bionic Robot Dog Total Enroll – 10+ Thousands Duration – 90 Hours Requirements Basic understanding of robotics or electronics Familiarity with Python or C programming Laptop for programming ESP32 & Raspberry Pi Interest in AI, motion control, and robotics systems Sessions Introduction to Bionic Robot Dogs Understanding 12-DOF leg mechanics Study of servo motors & torque optimization ESP32 architecture & motor control Setting up Raspberry Pi 4B for robotics Installing and configuring Robot Operating System (ROS) Sensor integration (IMU, Ultrasonic, Camera) AI-based motion control & gait generation Understanding Inverse Kinematics (IK) Writing motion algorithms for walking, running & turning Data communication between ESP32 & Raspberry Pi 3D structure assembly & stability tuning Calibrating servos & motion accuracy AI vision using OpenCV on Raspberry Pi Final testing & advanced movement sessions   Course Info Announcements About Course Experience the thrill of advanced robotics engineering with the Waveshare 12-DOF Bionic Robot Dog, a powerful quadruped platform driven by ESP32 and Raspberry Pi 4B. This course takes you through the world of bionic robotics, teaching you how intelligent control systems, sensors, and mechanical joints work together to create life-like motion. Throughout the course, you’ll learn how to assemble the robot dog, configure its hardware, and program complex locomotion patterns. You’ll explore real-world robotics concepts, including gait control, balance algorithms, inverse kinematics, and AI-assisted navigation. Using Raspberry Pi’s computational power, you’ll implement vision-based responses and intelligent decision-making. Others We begin by exploring the components that bring the bionic robot dog to life — high-torque servo motors, 12-DOF leg mechanisms, ESP32 microcontroller, Raspberry Pi 4B processor, sensors, and communication modules. Each part is essential for achieving smooth, stable, and dynamic movement. Next, you’ll follow a structured assembly process to build the robot dog. This includes mounting servo motors, connecting power systems, attaching limbs, integrating the controller board, and organizing the wiring. Step-by-step instructions ensure safe and accurate assembly. Once built, the programming stage begins. You will write and upload motor control algorithms to the ESP32, set up the Raspberry Pi with AI libraries, and develop motion behaviors such as walking, trotting, and turning. You’ll also utilize ROS, OpenCV, and machine learning tools to enhance the robot’s intelligence and coordination. The course also covers calibration, performance tuning, and safety practices. Finally, you’ll run field tests to evaluate balance, motion accuracy, obstacle response, and autonomous AI actions. By the end of this course, you’ll master the skills needed to assemble, program, and operate the Waveshare 12-DOF Bionic Robot Dog. Whether you’re exploring robotics for education, research, or innovation, this course equips you with the practical experience and knowledge required to work confidently with advanced bionic systems. No Announcements Yet!! About Course Experience the thrill of advanced robotics engineering with the Waveshare 12-DOF Bionic Robot Dog, a powerful quadruped platform driven by ESP32 and Raspberry Pi 4B. This course takes you through the world of bionic robotics, teaching you how intelligent control systems, sensors, and mechanical joints work together to create life-like motion. Throughout the course, you’ll learn how to assemble the robot dog, configure its hardware, and program complex locomotion patterns. You’ll explore real-world robotics concepts, including gait control, balance algorithms, inverse kinematics, and AI-assisted navigation. Using Raspberry Pi’s computational power, you’ll implement vision-based responses and intelligent decision-making. Others We begin by exploring the components that bring the bionic robot dog to life — high-torque servo motors, 12-DOF leg mechanisms, ESP32 microcontroller, Raspberry Pi 4B processor, sensors, and communication modules. Each part is essential for achieving smooth, stable, and dynamic movement. Next, you’ll follow a structured assembly process to build the robot dog. This includes mounting servo motors, connecting power systems, attaching limbs, integrating the controller board, and organizing the wiring. Step-by-step instructions ensure safe and accurate assembly. Once built, the programming stage begins. You will write and upload motor control algorithms to the ESP32, set up the Raspberry Pi with AI libraries, and develop motion behaviors such as walking, trotting, and turning. You’ll also utilize ROS, OpenCV, and machine learning tools to enhance the robot’s intelligence and coordination. The course also covers calibration, performance tuning, and safety practices. Finally, you’ll run field tests to evaluate balance, motion accuracy, obstacle response, and autonomous AI actions. By the end of this course, you’ll master the skills needed to assemble, program, and operate the Waveshare 12-DOF Bionic Robot Dog. Whether you’re exploring robotics for education, research, or innovation, this course equips you with the practical experience and knowledge required to work confidently with advanced bionic systems. No Announcements Yet!!

Course Home Quadcopter Course Informations Robot – Quadcopter Total Enroll – 10+ Thousands Duration – 90 Hours Requirements Expert Knowledge in C programming A laptop for programming the microcontroller Sessions Understanding basic concepts of drone. Understanding frames Study of BLDC Motors Study of Esc Study of IMU Controller board Artificial Intelligence algorithm Converting algorithms to code Assembling Calibrating the motors Flight training Flight session Course Info Announcements About Course Building your own quadcopter can be a rewarding and exciting  experience. Not only do you get to customize your quadcopter to your liking, but also get to learn about the various components that make up a quadcopter and how they work together to enable flight. In this course, we will guide you through the process of building your own quadcopter from scratch. We’ll cover everything from selecting the right components to assembling and tuning your quadcopter. Others To start, you’ll need to select the right components for your quadcopter. This includes the frame, motors, propellers, electronic speed controllers (ESCs), flight controller, and battery. Each component plays a crucial role in enabling your quadcopter to fly, so it’s important to select high-quality components that are compatible with each other. Next, you’ll need to assemble your quadcopter. This involves mounting the motors to the frame, attaching the propellers to the motors, and wiring up the electronic speed controllers and flight controller. We’ll provide you with step-by-step instructions to ensure that you assemble your quadcopter correctly and safely. Once you’ve assembled your quadcopter, you’ll need to tune it. This involves adjusting the settings on your flight controller to ensure that your quadcopter is stable and responsive in flight. We’ll show you how to use software tools to tune your quadcopter and provide tips and tricks to help you achieve the perfect balance of stability and maneuverability. Finally, we’ll cover safety considerations when flying your quadcopter. Flying a quadcopter can be dangerous if you don’t follow the proper safety procedures. We’ll teach you how to fly your quadcopter safely and responsibly, including how to perform pre-flight checks, how to avoid obstacles, and what to do in case of an emergency. By the end of this course, you’ll have the skills and knowledge necessary to build and fly your own quadcopter. You’ll be able to customize your quadcopter to your liking, and you’ll have a deeper understanding of how quadcopters work. You’ll also be equipped with the skills necessary to troubleshoot and maintain your quadcopter, ensuring that it stays in good working condition for years to come. Whether you’re interested in quadcopters as a hobby or as a potential career, this course will provide you with the foundational knowledge and skills necessary to take your quadcopter building and flying to the next level. So what are you waiting for? Let’s get started!   No Announcements Yet!! About Course Building your own quadcopter can be a rewarding and exciting  experience. Not only do you get to customize your quadcopter to your liking, but also get to learn about the various components that make up a quadcopter and how they work together to enable flight. In this course, we will guide you through the process of building your own quadcopter from scratch. We’ll cover everything from selecting the right components to assembling and tuning your quadcopter. Others To start, you’ll need to select the right components for your quadcopter. This includes the frame, motors, propellers, electronic speed controllers (ESCs), flight controller, and battery. Each component plays a crucial role in enabling your quadcopter to fly, so it’s important to select high-quality components that are compatible with each other. Next, you’ll need to assemble your quadcopter. This involves mounting the motors to the frame, attaching the propellers to the motors, and wiring up the electronic speed controllers and flight controller. We’ll provide you with step-by-step instructions to ensure that you assemble your quadcopter correctly and safely. Once you’ve assembled your quadcopter, you’ll need to tune it. This involves adjusting the settings on your flight controller to ensure that your quadcopter is stable and responsive in flight. We’ll show you how to use software tools to tune your quadcopter and provide tips and tricks to help you achieve the perfect balance of stability and maneuverability. Finally, we’ll cover safety considerations when flying your quadcopter. Flying a quadcopter can be dangerous if you don’t follow the proper safety procedures. We’ll teach you how to fly your quadcopter safely and responsibly, including how to perform pre-flight checks, how to avoid obstacles, and what to do in case of an emergency. By the end of this course, you’ll have the skills and knowledge necessary to build and fly your own quadcopter. You’ll be able to customize your quadcopter to your liking, and you’ll have a deeper understanding of how quadcopters work. You’ll also be equipped with the skills necessary to troubleshoot and maintain your quadcopter, ensuring that it stays in good working condition for years to come. Whether you’re interested in quadcopters as a hobby or as a potential career, this course will provide you with the foundational knowledge and skills necessary to take your quadcopter building and flying to the next level. So what are you waiting for? Let’s get started!   No Announcements Yet!!

Course Home Advanced Scientists Course (Ages 15–18) Course Progress ₹14999 Level – Advanced Total Enroll – 10+ Thousands Duration – 5 Months Material Includes 40 In 1 Electronics Master Kit Basics of Arduino Audience Easily set prerequisites to structure your courses and guide student progress. Course Info Announcements About Course Designed for future innovators, the Advanced Scientists course explores advanced robotics, automation, and AI-driven applications. Students learn how to integrate artificial intelligence and data-driven decision-making into robotic systems. They work on real-world inspired challenges, preparing them for higher-level STEM competitions and future careers in technology and engineering. Duration : 5 Months What Your Kids Will Learn : 40 in 1 Electronics Robotics Master Kit Basics of Arduino 10 Application Projects Key Highlights: Introduction to AI and machine learning concepts Build autonomous robots with advanced sensors Learn real-world automation logic Work on research-inspired innovation projects Course goal Introduce advanced topics: sensor fusion, autonomy, control logic, basic computer vision/machine learning classroom-friendly approaches, and system integration — preparing students for competitions and advanced study. Representative projects Autonomous maze solver, vision-assisted line follower, micro-TinyML classifier, basic SLAM demo concept (using encoders + sensors). Learning outcomes Understand fundamentals of autonomy and perception. Use pre-trained ML models or TinyML for simple inference. Integrate sensors, control loops and high-level decision logic. Document system architecture and test results. Materials / Kit Advanced kit: microcontroller (Raspberry Pi / OpenMV / ESP32 with camera) or combo, motor drivers, encoders, IMU, ultrasonic/Time-of-Flight sensors, camera (OpenMV/RPI camera), power bank, breadboards, wiring, mounting hardware. Software: Python basics, MakeCode or MicroPython, TensorFlow Lite (if used), OpenMV IDE (if used). Class logistics Class size: 6–10 students (higher instructor ratio). Session length: 2 hours minimum. Pre-req: basic programming (Python/Arduino) and mechanical understanding recommended. Assessment & certification Assessment by rubric: system design, functionality, robustness, report. Certificate: “Advanced Scientist — Autonomous Systems & AI Basics.” Optional: badge for ML/Computer Vision module. Instructor notes Emphasize simulation and testing before build (saves hardware failure). Use cloud/offline pre-trained models to avoid long training time. Prepare spare hardware and debug checklist. No Announcements Yet!! About Course Designed for future innovators, the Advanced Scientists course explores advanced robotics, automation, and AI-driven applications. Students learn how to integrate artificial intelligence and data-driven decision-making into robotic systems. They work on real-world inspired challenges, preparing them for higher-level STEM competitions and future careers in technology and engineering. Duration : 5 Months What Your Kids Will Learn : 40 in 1 Electronics Robotics Master Kit Basics of Arduino 10 Application Projects Key Highlights: Introduction to AI and machine learning concepts Build autonomous robots with advanced sensors Learn real-world automation logic Work on research-inspired innovation projects Course goal Introduce advanced topics: sensor fusion, autonomy, control logic, basic computer vision/machine learning classroom-friendly approaches, and system integration — preparing students for competitions and advanced study. Representative projects Autonomous maze solver, vision-assisted line follower, micro-TinyML classifier, basic SLAM demo concept (using encoders + sensors). Learning outcomes Understand fundamentals of autonomy and perception. Use pre-trained ML models or TinyML for simple inference. Integrate sensors, control loops and high-level decision logic. Document system architecture and test results. Materials / Kit Advanced kit: microcontroller (Raspberry Pi / OpenMV / ESP32 with camera) or combo, motor drivers, encoders, IMU, ultrasonic/Time-of-Flight sensors, camera (OpenMV/RPI camera), power bank, breadboards, wiring, mounting hardware. Software: Python basics, MakeCode or MicroPython, TensorFlow Lite (if used), OpenMV IDE (if used). Class logistics Class size: 6–10 students (higher instructor ratio). Session length: 2 hours minimum. Pre-req: basic programming (Python/Arduino) and mechanical understanding recommended. Assessment & certification Assessment by rubric: system design, functionality, robustness, report. Certificate: “Advanced Scientist — Autonomous Systems & AI Basics.” Optional: badge for ML/Computer Vision module. Instructor notes Emphasize simulation and testing before build (saves hardware failure). Use cloud/offline pre-trained models to avoid long training time. Prepare spare hardware and debug checklist. No Announcements Yet!!

Course Home Pro Scientists Course (Ages 11–14) Course Progress ₹9999 Level – Intermediate Total Enroll – 10+ Thousands Duration – 4 Months Material Includes Robo Drive 5 in 1 Robots Master Kit 10 in 1 Electronics Starter Kit Tinker Lab at Home Kit Audience Easily set prerequisites to structure your courses and guide student progress. Course Info Announcements About Course Take your robotics skills to the next level! The Pro Scientists course empowers students to build and program real robots using sensors, motors, and microcontrollers. Through guided projects, students explore logic building, automation, and coding concepts that form the foundation of modern robotics. Perfect for learners who want to understand how robots think and act. Duration : 4 Months What Your Kids Will Learn : Robo Drive 5 in 1 Robots Master  10 in 1 Electronics Robotics Starter Kit Tinker Lab at Home Kit Key Highlights: Fun and safe robotics kits designed for kids Introduction to motors, LEDs, and basic sensors Creative model-building challenges Encourages curiosity, teamwork, and early problem-solving Course goal Introduce young learners to basic physical computing and robotics through playful, low-friction hands-on activities that build curiosity, fine motor skills, and basic cause-and-effect reasoning. Representative projects Motorized paper car, LED greeting card, buzzer alarm toy, simple line maze bot (toy version). Learning outcomes Recognize simple electronic components and what they do. Build safe basic circuits and power small motors/LEDs. Follow instructions, debug small problems, and present a finished model. Teamwork and creative thinking. Materials / Kit Beginner STEM kit: small DC motor, AA battery holder, LEDs, resistors, buzzer, jumper wires, snap connectors, small wheels, chassis pieces, craft supplies, screwdriver set. Teacher kit: spare parts, multimeter (optional), safety goggles. Class logistics Class size: 8–16 students recommended. Session length: 60–90 minutes. Homework: short exploration tasks (e.g., draw your robot idea). Assessment & certification Formative: instructor observation + short checklist per student. Summative: final project demonstration. Certificate: “Junior Scientist — Completion Certificate.” Instructor notes Keep activities playful and highly scaffolded. Use storytelling to contextualize each build (e.g., “robot pet”). Encourage parents to attend final demo.   No Announcements Yet!! About Course Take your robotics skills to the next level! The Pro Scientists course empowers students to build and program real robots using sensors, motors, and microcontrollers. Through guided projects, students explore logic building, automation, and coding concepts that form the foundation of modern robotics. Perfect for learners who want to understand how robots think and act. Duration : 4 Months What Your Kids Will Learn : Robo Drive 5 in 1 Robots Master  10 in 1 Electronics Robotics Starter Kit Tinker Lab at Home Kit Key Highlights: Fun and safe robotics kits designed for kids Introduction to motors, LEDs, and basic sensors Creative model-building challenges Encourages curiosity, teamwork, and early problem-solving Course goal Introduce young learners to basic physical computing and robotics through playful, low-friction hands-on activities that build curiosity, fine motor skills, and basic cause-and-effect reasoning. Representative projects Motorized paper car, LED greeting card, buzzer alarm toy, simple line maze bot (toy version). Learning outcomes Recognize simple electronic components and what they do. Build safe basic circuits and power small motors/LEDs. Follow instructions, debug small problems, and present a finished model. Teamwork and creative thinking. Materials / Kit Beginner STEM kit: small DC motor, AA battery holder, LEDs, resistors, buzzer, jumper wires, snap connectors, small wheels, chassis pieces, craft supplies, screwdriver set. Teacher kit: spare parts, multimeter (optional), safety goggles. Class logistics Class size: 8–16 students recommended. Session length: 60–90 minutes. Homework: short exploration tasks (e.g., draw your robot idea). Assessment & certification Formative: instructor observation + short checklist per student. Summative: final project demonstration. Certificate: “Junior Scientist — Completion Certificate.” Instructor notes Keep activities playful and highly scaffolded. Use storytelling to contextualize each build (e.g., “robot pet”). Encourage parents to attend final demo.   No Announcements Yet!!

Course Home Junior Scientists Course Age 7 – 10 Course Progress ₹4999 Level – Junior Total Enroll – 10+ Thousands Duration – 3 Months Material Includes 10 in 1 Science Gadgets Kit Motor Machines Kit Electric Magnetic Kit Audience Easily set prerequisites to structure your courses and guide student progress. Course Info Announcements About Course Spark curiosity and creativity in young minds! The Junior Scientists program introduces children to the fascinating world of robotics through fun, hands-on activities. Kids learn the basics of motors, sensors, and simple circuits while building exciting models that move, light up, and respond to their environment. This course focuses on nurturing imagination, problem-solving, and teamwork — perfect for beginners taking their first steps into STEM learning. Duration : 3 Months What Your Kids Will Learn : 10 in 1 Science Gadgets Kit Motor Machines Kit Electric Magnetic Kit Key Highlights: Fun and safe robotics kits designed for kids Introduction to motors, LEDs, and basic sensors Creative model-building challenges Encourages curiosity, teamwork, and early problem-solving Course goal Introduce young learners to basic physical computing and robotics through playful, low-friction hands-on activities that build curiosity, fine motor skills, and basic cause-and-effect reasoning. Representative projects Motorized paper car, LED greeting card, buzzer alarm toy, simple line maze bot (toy version). Learning outcomes Recognize simple electronic components and what they do. Build safe basic circuits and power small motors/LEDs. Follow instructions, debug small problems, and present a finished model. Teamwork and creative thinking. Materials / Kit Beginner STEM kit: small DC motor, AA battery holder, LEDs, resistors, buzzer, jumper wires, snap connectors, small wheels, chassis pieces, craft supplies, screwdriver set. Teacher kit: spare parts, multimeter (optional), safety goggles. Class logistics Class size: 8–16 students recommended. Session length: 60–90 minutes. Homework: short exploration tasks (e.g., draw your robot idea). Assessment & certification Formative: instructor observation + short checklist per student. Summative: final project demonstration. Certificate: “Junior Scientist — Completion Certificate.” Instructor notes Keep activities playful and highly scaffolded. Use storytelling to contextualize each build (e.g., “robot pet”). Encourage parents to attend final demo.   No Announcements Yet!! About Course Spark curiosity and creativity in young minds! The Junior Scientists program introduces children to the fascinating world of robotics through fun, hands-on activities. Kids learn the basics of motors, sensors, and simple circuits while building exciting models that move, light up, and respond to their environment. This course focuses on nurturing imagination, problem-solving, and teamwork — perfect for beginners taking their first steps into STEM learning. Duration : 3 Months What Your Kids Will Learn : 10 in 1 Science Gadgets Kit Motor Machines Kit Electric Magnetic Kit Key Highlights: Fun and safe robotics kits designed for kids Introduction to motors, LEDs, and basic sensors Creative model-building challenges Encourages curiosity, teamwork, and early problem-solving Course goal Introduce young learners to basic physical computing and robotics through playful, low-friction hands-on activities that build curiosity, fine motor skills, and basic cause-and-effect reasoning. Representative projects Motorized paper car, LED greeting card, buzzer alarm toy, simple line maze bot (toy version). Learning outcomes Recognize simple electronic components and what they do. Build safe basic circuits and power small motors/LEDs. Follow instructions, debug small problems, and present a finished model. Teamwork and creative thinking. Materials / Kit Beginner STEM kit: small DC motor, AA battery holder, LEDs, resistors, buzzer, jumper wires, snap connectors, small wheels, chassis pieces, craft supplies, screwdriver set. Teacher kit: spare parts, multimeter (optional), safety goggles. Class logistics Class size: 8–16 students recommended. Session length: 60–90 minutes. Homework: short exploration tasks (e.g., draw your robot idea). Assessment & certification Formative: instructor observation + short checklist per student. Summative: final project demonstration. Certificate: “Junior Scientist — Completion Certificate.” Instructor notes Keep activities playful and highly scaffolded. Use storytelling to contextualize each build (e.g., “robot pet”). Encourage parents to attend final demo.   No Announcements Yet!!