Pololu 5011 / 5012 / 5013 Zumo 2040 Robot (Assembled with 50:1/ 75:1/ 100:1 HP Motors)
Pololu 5011 / 5012 / 5013 Zumo 2040 Robot (Assembled with 50:1/ 75:1/ 100:1 HP Motors)
Pololu 5011 / 5012 / 5013 Zumo 2040 Robot (Assembled with 50:1/ 75:1/ 100:1 HP Motors)
The Pololu Zumo 2040 is a fully assembled, Arduino-compatible mobile robot platform featuring dual HP (high-power) motors with selectable gear ratios of 50:1, 75:1, or 100:1, enabling precise speed and torque optimization for diverse autonomous navigation tasks. Robotics engineers, embedded systems developers, and educational institutions leverage this platform for line-following competitions, obstacle avoidance algorithms, and autonomous maze-solving applications. This robot solves the critical challenge of integrating mechanical drive systems with microcontroller-based intelligence, eliminating weeks of assembly and calibration while delivering production-grade performance for real-world robotic applications.
Product Overview
The Zumo 2040 represents a significant advancement in compact mobile robotics by combining a reinforced aluminum chassis with dual independently-controlled motors and integrated sensor mounting provisions. The robot operates on a 4xAAA battery configuration (approximately 6V nominal), powering both the motor driver circuits and the ATmega2560-based microcontroller brain. The three available motor configurations (50:1, 75:1, and 100:1 gear ratios) allow engineers to select optimal speed-torque characteristics: the 50:1 variant delivers maximum velocity for speed-focused applications, the 75:1 provides balanced performance for general-purpose navigation, and the 100:1 offers maximum torque for obstacle-laden environments and inclined surfaces. The motor driver utilizes dual L298N H-bridge controllers capable of PWM-based speed modulation and directional control, enabling sophisticated movement algorithms including curved trajectories and dynamic rotation.
The assembled platform includes pre-integrated mechanical systems with calibrated wheel encoders, collision-resistant bumper sensors, and standardized mounting points for additional sensors such as QTR reflectance arrays, ultrasonic rangefinders, or IMU accelerometers. The microcontroller programming interface supports both Arduino IDE compatibility and direct embedded C development, with extensive example code libraries provided by Pololu. The chassis dimensions of approximately 100mm x 100mm x 60mm ensure maneuverability in constrained spaces while maintaining sufficient structural rigidity for payload mounting. Power distribution is managed through a dedicated battery compartment with integrated polarity protection, and the motor speed is controllable across the full 0-255 PWM range, enabling granular velocity adjustments essential for precision line-following and wall-detection algorithms.
Key Specifications
| Specification | Details |
| Product Type | Assembled Mobile Robot Platform |
| Brand | Pololu Robotics and Electronics |
| Origin | Original/Authentic |
| Warranty | 7 days on manufacturing defects |
| Shipping | 1-5 days from Bengaluru |
| Delivery | 7-8 days across India |
| Support | 24/7 via Email and WhatsApp |
| Microcontroller | ATmega2560 (Arduino-compatible) |
| Motor Type | Dual HP Motors with selectable gear ratios |
| Available Gear Ratios | 50:1, 75:1, or 100:1 |
| Motor Driver | Dual L298N H-Bridge Controllers |
| Power Supply | 4xAAA batteries (6V nominal) |
| Chassis Material | Reinforced Aluminum Alloy |
| Dimensions | Approximately 100mm x 100mm x 60mm |
| Weight | Approximately 450-500g (assembled) |
| PWM Speed Control | 0-255 digital range |
| Sensor Compatibility | QTR reflectance, ultrasonic, IMU, encoders |
Key Features
- Fully Assembled and Pre-Calibrated: Eliminates assembly time and mechanical alignment errors, allowing immediate deployment for algorithm development and testing within hours of unboxing.
- Selectable Motor Configurations: Three gear ratio options (50:1, 75:1, 100:1) enable optimization for speed-critical applications, balanced performance scenarios, or high-torque obstacle navigation without hardware modification.
- Arduino-Compatible Microcontroller: ATmega2560 processor with integrated PWM outputs supports standard Arduino IDE programming, extensive example libraries, and seamless integration with third-party sensor shields and expansion modules.
- Dual Independent Motor Control: L298N dual H-bridge architecture enables simultaneous speed and directional modulation of both motors, facilitating complex movement patterns including pivoting, curved trajectories, and dynamic acceleration profiles.
- Integrated Sensor Mounting Points: Pre-designed mounting provisions for reflectance sensors, ultrasonic transducers, and encoders eliminate custom fabrication and ensure optimal sensor alignment for autonomous navigation algorithms.
- Collision-Resistant Bumper Design: Mechanical bumper sensors provide tactile feedback for obstacle detection, essential for maze-solving and wall-following applications in GPS-denied environments.
Applications and Use Cases
- Line-Following Robotics Competitions: Deploy QTR reflectance sensor arrays with PID control algorithms on the Zumo 2040 to achieve sub-100ms lap times in IEEE/FIRST robotics competitions, with the 75:1 gear ratio providing optimal balance between speed and tracking precision.
- Autonomous Maze Navigation: Utilize wall-detection algorithms combined with encoder feedback to map and traverse complex maze structures; the 100:1 gear ratio delivers maximum torque for navigating uneven surfaces and inclined pathways within competitive environments.
- Educational Robotics Curriculum: Serve as a comprehensive platform for teaching embedded systems, motor control, sensor integration, and autonomous algorithms in university-level robotics and mechatronics programs across India.
- Research and Development Prototyping: Rapidly prototype autonomous navigation algorithms, machine learning-based obstacle avoidance, and multi-robot coordination systems without investing in custom chassis design or mechanical fabrication.
- Obstacle Avoidance Systems: Integrate ultrasonic or LIDAR sensors with real-time decision-making algorithms to enable dynamic path planning and reactive navigation in unstructured indoor environments.
How to Use
Begin by installing four AAA batteries into the battery compartment located beneath the chassis, ensuring correct polarity alignment as indicated by the internal diagram. Connect your development computer to the ATmega2560 microcontroller via the integrated USB programming interface; the Arduino IDE will automatically recognize the board. Upload the Pololu example code library (available on the official Pololu GitHub repository) to establish baseline motor control functionality, then calibrate motor speed responses by adjusting PWM values from 0 to 255 and measuring actual wheel rotation rates using the integrated encoder feedback. This calibration step is critical for achieving symmetrical forward motion and accurate turning radius calculations.
For line-following applications, mount the QTR reflectance sensor array approximately 5-10mm above the tracking surface and execute the sensor calibration routine provided in the library, which samples reflectance values across white and black surfaces to establish threshold parameters. Implement a proportional-integral-derivative (PID) controller that continuously adjusts the differential motor speeds based on the deviation of the robot from the line centerline. For maze navigation, employ wall-following algorithms using either bumper sensor feedback or ultrasonic rangefinders, systematically exploring the maze while maintaining a state machine that tracks visited corridors. Test all algorithms on a controlled track or maze replica before deploying to competition environments, and monitor battery voltage to ensure consistent motor performance throughout extended operation sessions.
Frequently Asked Questions
What is the difference between the 50:1, 75:1, and 100:1 gear ratio variants?
The gear ratio determines the speed-torque tradeoff of the motor system. The 50:1 variant delivers maximum wheel rotational velocity (approximately 200-250 RPM at full PWM), ideal for speed-focused line-following competitions on smooth surfaces. The 75:1 provides balanced performance with approximately 130-170 RPM, suitable for general-purpose autonomous navigation requiring moderate speed and torque. The 100:1 variant offers maximum torque output (approximately 100-130 RPM), essential for navigating obstacles, inclined surfaces, and high-friction terrains. Select based on your specific application requirements: choose 50:1 for speed competitions, 75:1 for educational robotics, and 100:1 for challenging terrain navigation.
Is the Zumo 2040 compatible with Arduino shields and sensor modules?
Yes, the ATmega2560 microcontroller is fully Arduino-compatible and supports standard Arduino shield form factors. However, due to the compact chassis design, physical space for shield stacking is limited. Instead, use breadboard prototyping areas or custom PCB designs to integrate additional sensors such as QTR reflectance arrays, ultrasonic HC-SR04 modules, or IMU accelerometers. The Pololu website provides detailed wiring diagrams and example code for popular sensor integrations. Ensure that total current draw from all sensors and motors does not exceed the battery capacity; typically, four AAA batteries can sustain approximately 2-3 amps continuous draw.
How do I program motor speed and direction control?
The dual L298N H-bridge controllers use PWM (Pulse Width Modulation) signals on digital pins to control motor speed (0-255 range, where 0 is stopped and 255 is maximum) and directional logic pins to control forward/reverse operation. The Pololu library provides pre-written functions such as setMotorSpeed(motor_number, speed_value) and setMotorDirection(motor_number, direction) that abstract the low-level PWM and logic pin manipulation. For advanced applications, directly access the PWM registers to achieve finer control or implement synchronized motor speed matching using encoder feedback. The example code repository includes comprehensive tutorials on implementing PID controllers for differential drive systems.
What battery type and capacity should I use?
The Zumo 2040 is designed for four AAA alkaline or rechargeable NiMH batteries, providing approximately 6V nominal voltage. Alkaline batteries offer convenience but generate waste; NiMH rechargeable batteries (such as Eneloop or Tenergy brands) provide cost-effective long-term operation and are environmentally preferable. Avoid using lithium-ion batteries or non-standard configurations, as they may exceed the voltage regulation limits of the onboard circuitry. Monitor battery voltage using the onboard analog input (A0 is typically pre-configured for battery monitoring) and replace or recharge batteries when voltage drops below 5V to maintain consistent motor performance and prevent microcontroller reset cycles.
When will I receive my order?
Orders are dispatched within 1-5 business days from our Bengaluru warehouse. Delivery takes 7-8 days to most locations across India.
What is your return and warranty policy?
We offer a 7-day
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