25 Robotics Project Ideas for School Students 
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📌QUICK ANSWER 

This page lists 25 robotics projects organised by difficulty — 15 beginner projects (SUBO Board, 15–45 min each), 

7 intermediate projects (Wheelz Kit, 1–2 hrs), and 3 advanced projects (Trix Kit, 3–5 hrs). 

Every project includes what it teaches, kit needed, time estimate, difficulty rating, and step-by-step guidance. 

Start with Project 1 if you're brand new. Jump to Project 16 if you already own the Wheelz Kit. 

All 15 beginner projects are doable at home with zero prior experience. 

 

One of the most common questions parents and students ask is: "What should I actually build first?" It's a great question — because the right project for a Class 6 student making their first robot is very different from the right project for a Class 9 student preparing for a science fair. 

This project library is organised by difficulty, time required, and which kit you need. Each project is designed to teach one clear concept, deliver a working result in a single session, and give your child a win they can show off. Start simple. Build confidence. Grow from there. 













 

How to Choose the Right Project for Your Child 

Before jumping in, use this decision matrix to find the best starting point based on experience and goals. 










 

 

 

Choose by Use Case 






​⭐ BEGINNER PROJECTS (1–15) — SUBO Board — 15 to 45 Minutes Each 

 

All beginner projects use the AtumX SUBO Board (₹2,999) — no extra components, no wiring, no soldering. Every project below is completable in a single sitting. Start here if this is your child's first robotics project. 



 

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1. LED Traffic Light   ⭐☆☆☆☆ 

🎯 Teaches: Sequencing, timing, loops 

🔧 Kit Needed : SUBO Board (built-in LED) 

⏱ Time:  15–20 minutes 

🏆 Perfect For : First project, home learning, confidence building 

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How it works: Program three coloured LED states to simulate a real traffic light — red (stop, 5 seconds), yellow (wait, 2 seconds), green (go, 5 seconds) — looping forever. This is the most satisfying first project because the result looks exactly like something from the real world. 

Students learn:  

• Using loops to repeat sequences 

• Timing delays in code 

• How traffic systems work 
   

2. Ultrasonic Parking Sensor   ⭐⭐☆☆☆ 

🎯 Teaches: Distance measurement, conditional logic, graduated responses 

🔧 Kit Needed : SUBO Board (built-in ultrasonic sensor + buzzer) 

⏱ Time : 30 minutes 

🏆 Perfect For : School exhibitions, practical demonstrations 

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How it works: The buzzer beeps faster as an object gets closer — just like real car parking sensors. Far (>50cm): beep every 2 seconds. Medium (20–50cm): beep every 0.5 seconds. Close (<20cm): continuous beep. Students immediately recognise this from real life, which makes the concept stick. 

Students learn:  

• Reading ultrasonic sensor data in real time 

• If-else conditional statements with multiple branches 

• Real-world sensor applications in everyday technology 

 

3. Temperature Alert System   ⭐☆☆☆☆ 

🎯 Teaches : Threshold detection, automation, environmental monitoring 

🔧 Kit Needed : SUBO Board (built-in temperature sensor + buzzer) 

⏱ Time : 25 minutes 

🏆 Perfect For : Home learning, ATL lab demos, Class 7–8 science 

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How it works: Set a temperature threshold (e.g., 35°C). When the sensor detects heat above that value, the buzzer triggers. Students can test it by warming the sensor with their palm. This teaches the concept of automation — machines responding to environment without human input. 

Students learn:  

• Reading temperature sensor values 

• Comparison operators in code (greater than, less than) 

• Basic automation and threshold-based triggering 

 

4. Sound-Activated LED   ⭐☆☆☆☆ 

🎯 Teaches : Input processing, event-driven logic 

🔧 Kit Needed : SUBO Board (built-in sound sensor + LED) 

⏱ Time : 20 minutes 

🏆 Perfect For : First project, home learning, Class 6 

 

How it works: Clap your hands once — the LED turns on. Clap again — it turns off. A classic input-output project that teaches event-driven logic. Surprisingly satisfying for beginners because the response is instant and physical. 

Students learn:  

• Reading sound sensor input 

• Toggle logic (on/off state tracking) 

• Event-driven programming concepts 

 

5. Smart Night Light   ⭐⭐☆☆☆ 

🎯 Teaches : Automation, sensor feedback, real-world applications 

🔧 Kit Needed : SUBO Board (built-in light sensor + LED) 

⏱ Time : 25 minutes 

🏆 Perfect For : Science fairs, home demos, Class 7 

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How it works: The LED turns on automatically when the room is dark, and off when light returns — exactly how real night lights and streetlights work. Cover the sensor with your hand to test the dark condition. An excellent science fair project because it demonstrates a concept everyone understands. 

Students learn:  

• Reading light sensor (LDR) values 

• Automation logic without manual input 

• How everyday automatic lighting systems work 

 

6. Hand Wave Counter   ⭐⭐☆☆☆ 

🎯 Teaches : Counting, state variables, interaction design 

🔧 Kit Needed : SUBO Board (built-in ultrasonic sensor + display) 

⏱ Time : 30 minutes 

🏆 Perfect For : ATL lab demos, interactive exhibits 

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How it works: Wave your hand in front of the sensor to increment a counter displayed on screen. Useful for counting people entering a room, objects on a conveyor belt, or steps taken. Introduces the concept of state variables — values that persist and change over time. 

Students learn:  

• State variables and how values persist in memory 

• Counting logic and incrementing variables 

• Real-world counter applications (attendance, inventory) 

 

7. Morse Code Transmitter   ⭐⭐☆☆☆ 

🎯 Teaches : Pattern encoding, timing, communication 

🔧 Kit Needed : SUBO Board (built-in buzzer + LED) 

⏱ Time : 35 minutes 

🏆 Perfect For : Class 8–9 STEM projects, communication concepts 

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How it works: Program the buzzer and LED to output Morse code for letters A–Z. Type a letter in the block code, the board beeps and flashes the Morse pattern. Teaches the concept that all digital communication is patterns of signals — the foundation of binary and networking. 

Students learn:  

• Pattern-based logic and sequencing 

• Loops and arrays for storing patterns 

• How digital encoding represents information 

 

8. Automatic Fan Controller   ⭐⭐⭐☆☆ 

🎯 Teaches : Analog input, proportional control, real automation 

🔧 Kit Needed : SUBO Board (temperature sensor) + small DC fan (optional add-on) 

⏱ Time : 40 minutes 

🏆 Perfect For : Science fairs, ATL lab, Class 8–9 

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How it works: The fan speed increases as temperature rises. At 25°C: fan off. At 30°C: fan at 50% speed. At 35°C+: fan at full speed. This teaches proportional control — not just on/off, but graduated responses to input values. The same concept used in air conditioning and industrial systems. 

Students learn:  

• Proportional output based on analog input 

• Mapping sensor values to output intensity 

• Feedback loops in engineering systems 

 

9. Digital Thermometer Display   ⭐⭐☆☆☆ 

🎯 Teaches : Data visualisation, display output, sensor calibration 

🔧 Kit Needed : SUBO Board (temperature sensor + display output) 

⏱ Time : 30 minutes 

🏆 Perfect For : Class 7–8 science, home learning 

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How it works: Show the current room temperature on a connected display or computer screen, updating every second. Add a colour indicator: blue for cool (<25°C), yellow for comfortable (25–30°C), red for hot (>30°C). Students learn that data is more useful when visualised. 

Students learn:  

• Displaying sensor data in real time 

• Conditional colour coding for data ranges 

• Why data visualisation matters in engineering 

 

10. Sound Level Meter   ⭐⭐⭐☆☆ 

🎯 Teaches : Averaging, data normalisation, scientific measurement 

🔧 Kit Needed : SUBO Board (built-in sound sensor + LED bar) 

⏱ Time : 35 minutes 

🏆 Perfect For : Class 8–9 physics, ATL lab experiments 

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How it works: Display a 5-bar LED meter that shows how loud the environment is — like a volume meter on a speaker. Quiet: 1 bar lit. Normal conversation: 3 bars. Loud noise: all 5 bars. Introduces the concept of mapping raw sensor data to meaningful visual output. 

Students learn:  

• Reading and averaging sensor values over time 

• Mapping raw data to visual output levels 

• Decibels and sound measurement concepts 

 

11. Smart Alarm Clock   ⭐⭐⭐☆☆ 

🎯 Teaches : Time-based logic, user input, scheduled automation 

🔧 Kit Needed : SUBO Board (touch sensor + buzzer) 

⏱ Time : 40 minutes 

🏆 Perfect For : Class 7–9 intermediate projects 

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How it works: Touch the sensor to set an alarm countdown (e.g., 1 minute). When the timer reaches zero, the buzzer sounds. Touch again to snooze for 30 seconds. Teaches time-based logic and how user interaction combines with automated scheduling. 

Students learn:  

• Timer logic and countdown variables 

• User input interrupts in event-driven code 

• Combining sensors for multi-input interaction 

 

12. Plant Water Reminder   ⭐⭐⭐☆☆ 

🎯 Teaches : Environmental monitoring, threshold alerts, IoT basics 

🔧 Kit Needed : SUBO Board (touch sensor simulating soil moisture + LED + buzzer) 

⏱ Time : 40 minutes 

🏆 Perfect For : Science fairs, environmental science, Class 8–9 

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How it works: Simulate a plant moisture sensor: when the touch sensor reading drops below a threshold (simulating dry soil), the buzzer alerts and an LED blinks. This introduces students to Internet of Things (IoT) concepts — machines monitoring the physical environment and sending alerts. 

Students learn:  

• Environmental threshold monitoring 

• Alert systems and notification logic 

• Introduction to IoT concepts and smart devices 

 

13. Intruder Detection Alert   ⭐⭐⭐☆☆ 

🎯 Teaches : Motion sensing, security logic, real-world systems 

🔧 Kit Needed : SUBO Board (ultrasonic sensor + buzzer + LED) 

⏱ Time : 35 minutes 

🏆 Perfect For : Class 8–10, security systems concept, ATL lab 

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How it works: Set the ultrasonic sensor to detect when any object enters a defined zone (e.g., within 30cm). When triggered, the LED flashes and buzzer sounds for 3 seconds. Demonstrates real-world security sensor logic — the same concept in home alarm systems. 

Students learn:  

• Zone-based detection and proximity sensing 

• Timed alarm sequences with auto-reset 

• How commercial security sensors work 

 

14. Reaction Time Game   ⭐⭐⭐☆☆ 

🎯 Teaches : Game logic, timing, randomisation, interactivity 

🔧 Kit Needed : SUBO Board (touch sensor + LED + buzzer) 

⏱ Time : 45 minutes 

🏆 Perfect For : Class 6–9, fun demonstrations, classroom activities 

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How it works: LED lights up after a random delay. Player touches the sensor as fast as possible. Time from LED on to touch is measured and displayed. Challenge a classmate. Teaches game loop logic — a foundational concept in both game development and real-time systems. 

Students learn:  

• Random number generation in code 

• Precise timing measurement between two events 

• Game loop logic and interaction design 

 

15. Multi-Sensor Dashboard   ⭐⭐⭐⭐☆ 

🎯 Teaches : Data integration, system design, complex logic 

🔧 Kit Needed : SUBO Board (all 5 built-in sensors active simultaneously) 

⏱ Time : 45 minutes 

🏆 Perfect For : Class 9–10, ATL lab, advanced beginner capstone 

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How it works: Display readings from all 5 sensors (temperature, sound, light, distance, touch) on a connected screen simultaneously, updating every second. This is the beginner capstone project — it combines everything learned in Projects 1–14 into one integrated system. A strong ATL lab or science fair project. 

Students learn:  

• Multi-sensor data reading and integration 

• Structured data display and system design 

• How real-world monitoring systems handle multiple inputs 

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⭐⭐ INTERMEDIATE PROJECTS (16–22) — Wheelz Kit — 1 to 2 Hours Each 

 

These projects use the AtumX Wheelz Kit (₹1,500) — a line-following robot chassis with IR sensors and DC motors. Students should complete at least 5 beginner projects before attempting these. Each project introduces movement, navigation, and decision-making in physical space. 

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16. Basic Line-Following Robot   ⭐⭐⭐☆☆ 

🎯 Teaches : Autonomous navigation, IR sensors, feedback loops 

🔧 Kit Needed : Wheelz Kit (IR sensors + DC motors) 

⏱ Time : 60 minutes 

🏆 Perfect For : ATL lab, competitions, Class 8–10 

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How it works: The robot follows a black line on white paper using two IR sensors. If the left sensor sees the line, steer left. If the right sensor sees it, steer right. If both sensors see white, go straight. This is the foundational autonomous navigation project and a staple of robotics competitions across India. 

Students learn:  

• How IR sensors detect surface colour differences 

• Feedback loop logic for real-time correction 

• Autonomous navigation without human input 

 

17. Obstacle-Avoiding Car   ⭐⭐⭐☆☆ 

🎯 Teaches : Decision trees, ultrasonic sensing, autonomous decisions 

🔧 Kit Needed : Wheelz Kit + SUBO Board (ultrasonic sensor) 

⏱ Time : 75 minutes 

🏆 Perfect For : Science fairs, competitions, ATL lab 

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How it works: The robot moves forward until it detects an obstacle within 20cm, then stops, turns 90 degrees, and continues. Add a second turn check to navigate a simple maze. This is one of the most impressive beginner-intermediate projects because the robot appears to 'think' for itself — a great science fair demonstration. 

Students learn:  

• Ultrasonic sensing for real-time obstacle detection 

• Decision tree logic (detect → decide → act) 

• State machine concepts in autonomous systems 

 

18. Speed-Variable Line Follower   ⭐⭐⭐⭐☆ 

🎯 Teaches : Speed control, proportional response, PID concepts 

🔧 Kit Needed : Wheelz Kit (IR sensors + PWM motor control) 

⏱ Time : 90 minutes 

🏆 Perfect For : Class 9–10, competition prep, advanced intermediate 

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How it works: The robot slows down on curves and speeds up on straight sections — mimicking how a real car drives. When both sensors see white (straight), run at full speed. When one sensor sees the line (curve), slow to 60% speed. Introduces Proportional-Integral-Derivative (PID) control in a simplified form. 

Students learn:  

• PWM (Pulse Width Modulation) for speed control 

• Proportional response to sensor input 

• Introduction to PID control concepts 

 

19. Bluetooth Remote-Controlled Car   ⭐⭐⭐⭐☆ 

🎯 Teaches : Wireless communication, serial data, input parsing 

🔧 Kit Needed : Wheelz Kit + HC-05 Bluetooth Module 

⏱ Time : 90 minutes 

🏆 Perfect For : Class 9–10, communication concepts, competitions 

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How it works: Control the robot's direction (forward, back, left, right, stop) from a smartphone via Bluetooth. The robot receives serial commands ('F', 'B', 'L', 'R', 'S') and executes corresponding motor actions. Introduces wireless communication protocols and serial data parsing. 

Students learn:  

• Bluetooth serial communication protocols 

• Parsing incoming data and mapping to actions 

• Wireless control system architecture 

 

20. Light-Seeking Robot (Phototropic)   ⭐⭐⭐☆☆ 

🎯 Teaches : Sensor comparison, directional logic, biology-inspired robotics 

🔧 Kit Needed : Wheelz Kit + two LDR modules 

⏱ Time : 75 minutes 

🏆 Perfect For : Science fairs, biology-STEM cross-curricular, Class 9 

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How it works: Mount one LDR on each side of the robot. The robot always turns towards the brighter light source — mimicking how plants grow towards sunlight (phototropism). Shine a torch to steer it. An excellent science fair project because it connects robotics to biology. 

Students learn:  

• Comparative sensor reading (left vs right input) 

• Directional decision logic based on gradient 

• How biology inspires engineering (biomimicry) 

 

21. Edge/Cliff Detection Robot   ⭐⭐⭐☆☆ 

🎯 Teaches : Boundary detection, safety logic, industrial robotics 

🔧 Kit Needed : Wheelz Kit (IR sensors pointing downward) 

⏱ Time : 60 minutes 

🏆 Perfect For : Class 8–10, safety systems concept 

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How it works: Flip the IR sensors to face the floor. When a sensor detects no surface (cliff or table edge), the robot stops and reverses. This project teaches safety-critical logic — the same principle used in industrial robots to prevent falls and collisions. 

Students learn:  

• Downward-facing proximity sensing for edge detection 

• Safety-first logic and automatic halting 

• How industrial robot safety systems work 

 

22. Simple Maze-Solving Robot   ⭐⭐⭐⭐☆ 

🎯 Teaches : Algorithms, decision trees, memory-less navigation 

🔧 Kit Needed : Wheelz Kit (ultrasonic + IR sensors) 

⏱ Time : 120 minutes 

🏆 Perfect For : Competitions, Class 9–10, advanced intermediate 

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How it works: The robot navigates a simple T-shaped or L-shaped maze using the left-hand-rule algorithm: always try to turn left first. If blocked, go straight. If blocked ahead and left, turn right. If blocked all three ways, reverse. A competition-ready project that introduces algorithmic thinking. 

Students learn:  

• Left-hand-rule maze navigation algorithm 

• Multi-condition decision trees 

• How algorithms create predictable behaviour from rules 

 

 

⭐⭐⭐ ADVANCED PROJECTS (23–25) — Trix Kit — 3 to 5 Hours Each 

 

These projects use the AtumX Trix Kit (₹6,999) — a 3-in-1 humanoid robot capable of building a dinosaur, elephant, or scorpion. Advanced projects require comfort with SUBO Python mode and an understanding of servo motor control. Recommended for Class 9–10 students with 6+ months of robotics experience. 

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23. Walking Dinosaur Robot   ⭐⭐⭐⭐⭐ 

🎯 Teaches : Servo coordination, gait programming, mechanical design 

🔧 Kit Needed : Trix Kit (servo motors + mechanical frame) 

⏱ Time : 4–5 hours (2 sessions) 

🏆 Perfect For : Class 10, competitions, advanced ATL lab projects 

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How it works: Assemble the Trix Kit's dinosaur configuration, then program a 4-leg walking gait using coordinated servo timing. Front-left and back-right legs move together, then front-right and back-left — the same diagonal gait pattern used by real quadrupeds. Getting the timing right is satisfying and teaches mechanical-software co-design. 

Students learn:  

• Servo motor control with PWM signals 

• Diagonal gait coordination across 4 limbs 

• Mechanical-software interface design 

 

24. Gesture-Controlled Robot Arm   ⭐⭐⭐⭐⭐ 

🎯 Teaches : Sensor mapping, inverse relationships, human-machine interface 

🔧 Kit Needed : Trix Kit (servo motors) + SUBO Board (ultrasonic + light sensors) 

⏱ Time : 3–4 hours 

🏆 Perfect For : Class 9–10 advanced, competitions, science exhibitions 

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How it works: Map hand distance to robot arm angle: close hand = arm up, far hand = arm down. Add a grip: cover the light sensor to close the gripper, uncover to open. This creates an intuitive gesture interface — no buttons, just hand position. Introduces inverse kinematics in an approachable way. 

Students learn:  

• Mapping continuous sensor input to servo angle 

• Human-machine interface design principles 

• Introduction to inverse kinematics and robot arm control 

 

25. Autonomous Obstacle-Navigating Humanoid   ⭐⭐⭐⭐⭐ 

🎯 Teaches: Sensor fusion, multi-system integration, autonomous robotics 

🔧 Kit Needed : Trix Kit + SUBO Board (ultrasonic + IR sensors) 

⏱ Time : 5+ hours (2–3 sessions) 

🏆 Perfect For : Class 10, national competitions, ultimate challenge 

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How it works: Combine the Trix humanoid frame with SUBO's sensor suite to create a walking robot that detects and navigates around obstacles autonomously. The robot walks forward, detects an obstacle with ultrasonic sensing, stops, steps sideways, and resumes. This is the most complex project in the library and represents the culmination of all skills from Projects 1–24. 

Students learn:  

• Sensor fusion — combining multiple sensor inputs 

• Multi-system integration (locomotion + sensing + decision-making) 

• Autonomous navigation in humanoid robotics — the same principles used in research robots 

 

 

Your 3–6 Month Learning Path 

Don't try to do all 25 projects at once. Here's a structured progression that builds skills in the right order: 

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What If I Get Stuck? Troubleshooting Guide 

90% of problems students encounter fall into one of these five categories. Check these before anything else: 

 

🔌Fix #1: Check the Connection First (Solves 60% of problems) 

If your project isn't responding, the most common cause is a loose USB connection or an incomplete block sequence. 

Action: Unplug and replug the USB cable. Re-upload your code. Wait 5 seconds. Try again. 

For Wheelz / Trix: Check that all servo/motor connectors are fully seated — a half-inserted connector is the #1 hardware issue. 

 

💡Fix #2: Sensor Not Responding 

Check: Is the correct sensor block selected in your code? Ultrasonic and temperature blocks look similar. 

Check: Is there an object or surface within range? Ultrasonic sensors need a solid, flat surface within 3 metres. 

Check: Re-upload your code after any changes — SUBO requires a fresh upload to apply modifications. 

 

⚙️Fix #3: Robot Moving in Wrong Direction (Wheelz) 

Swap the motor direction in your block code — the Forward and Backward blocks have reversible motor direction settings. 

If only one wheel moves: check the motor connector on that side. 

If the robot circles instead of going straight: adjust the left/right motor power balance in code (try 10% offset). 

 

📺Fix #4: Code Uploads But Nothing Happens 

Make sure your code has a 'Start' or 'When board starts' block — without it, your code won't execute. 

Check for loops: if your code should repeat, wrap it in a 'repeat forever' block. 

Try the example code for the project first to confirm hardware is working, then modify. 

 

🔋Fix #5: Wheelz Robot Moving Slowly or Stopping Mid-Run 

Low battery is the most common cause. Charge or replace the battery pack before a long session. 

If the robot stutters on turns: the track surface may be too reflective. Use matte white paper for IR line-following. 

For Trix: sluggish servos almost always mean insufficient power supply — use the recommended power source. 

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