Holonomic Drive Robot: A Versatile Path-Planning Machine
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Overview
The Holonomic Drive Robot is an innovative, three-wheeled robot designed for precision path planning and image-based drawing. It combines advanced robotics algorithms, custom hardware, and creative problem-solving to deliver exceptional performance in a variety of tasks, from geometric pattern generation to drawing intricate images like logos.
Key Highlights
1. Motion Planning and Control
- Implemented a novel path-planning approach to optimize motor velocity and trajectory precision.
- Designed custom algorithms to address trajectory distortion caused by motor speed limitations.
2. Hardware and Software Integration
- Successfully integrated ESP32, eYFI Mega, stepper motors, and LiPo batteries into a cohesive system.
- Overcame challenges such as faulty motor drivers and optimized power delivery for reliability.
3. Image Processing and Simulation
- Extracted contours from images and translated them into robot motion commands.
- Utilized ROS and Gazebo for testing and refining the system in a simulated environment.
4. Real-Time Problem Solving
- Debugged critical hardware issues, such as malfunctioning motor drivers and damaged LiPo cells.
- Enhanced communication latency between the laptop and ESP32 from 1 second to 200ms by identifying and resolving protocol bottlenecks.
5. Creative Outputs
- Enabled the robot to draw patterns such as Lissajous figures (infinity loops) and complex logos.
- Developed a custom ink mixture to ensure visibility and erasability for pattern drawing.
Technologies Used
- Hardware: ESP32, eYFI Mega, LiPo batteries, and stepper motors.
- Software: ROS for robot control, Gazebo for simulation, and Python, C for software logic.
- Tools & Libraries: OpenCV for image processing, AccelStepper for motor control, and custom ROS packages for integration.
Development Timeline
January - February 2023: Prototyping and Hardware Development
- Designed and built the physical robot body, integrating motor drivers, sensors, and controllers.
- Calibrated the camera with over 100 samples for precise localization.
- Debugged and optimized motor driver configurations, achieving simultaneous operation of all wheels.
- Developed non-blocking motor control using the AccelStepper library.
March 2023: Software Refinement and Final Tests
- Created a contour extraction function for converting images into path points for drawing.
- Integrated a servo-based pen mechanism for on/off control during drawing operations.
- Conducted intensive testing, fixing indexing bugs, and optimizing scripts for various patterns, including the Snapchat logo and infinity shapes.
- Demonstrated successful path-following in a simulation environment using Gazebo. !assets/hola-collage 1.jpg
Challenges Overcome
- Latency in Data Transmission: Resolved slow communication by identifying a missing newline character in transmitted data, reducing latency from 1 second to 200ms.
- Battery and Power Issues: Diagnosed and replaced faulty LiPo battery cells, ensuring uninterrupted operation.
- Hardware Failures: Addressed motor driver failures and loose connections with creative soldering solutions and robust wiring techniques.
Achievements
- Successfully implemented conditional path-following to optimize motor velocity during complex path execution.
- Demonstrated precise image drawing with minimal distortion using camera-calibrated localization.
- Created a detailed documentation repository and shared project outcomes through YouTube videos, showcasing the robot’s capabilities.
Media
- Video Demonstrations: Watch Demo Video
Conclusion
The Holonomic Drive Robot is a testament to innovative thinking, technical expertise, and perseverance. It serves as a versatile platform for robotics experimentation, offering potential applications in art, industrial automation, and beyond.
Summary - Holonomic Drive Robot
- Jan 2023 - Mar 2023
- Link: https://github.com/rishav-singh-0/Holonomic_Art_Bot
- Technology: ESP32, Atmega2560, Socket Programming, I2C, ROS
- Engineered a 3-wheeled omnidirectional robot that converts visual inputs into optimized, time-efficient drawable paths using image processing and path finding algorithms
- Enabled precise control and real-time communication for seamless navigation and execution