This project involves the development of an autonomous mobile robot capable of self-localization, object detection, and performing wall-following maneuvers in real-time. The robot demonstrates advanced control and localization techniques to navigate its environment and execute tasks independently.
- Autonomous Self-Localization: The robot utilizes HTC VIVE for accurate localization to navigate towards predefined target locations.
- Object Detection: The robot can detect objects within its immediate environment using infrared sensors.
- Wall-Following: PID control is implemented to ensure precise and stable wall-following behavior.
- Competition-Ready: The robot participated in the Grand Theft Autonomous competition, where it successfully detected and retrieved a trophy based on infrared signal tracking.
- PID Control Implementation: Developed a PID controller for optimal wall-following performance, enabling the robot to navigate corridors and avoid obstacles with precision.
- Localization Integration: Utilized HTC VIVE for real-time localization, allowing the robot to determine its exact position and move accurately towards the target location.
- C Programming: Wrote C code for implementing control algorithms, sensor integration, and overall robot behavior.
- Competition Participation: Contributed to the robot's success in the Grand Theft Autonomous competition, where it autonomously identified and retrieved a trophy emitting an infrared frequency from a 2-meter distance, returning it to the base.
Watch the following videos to see the beacon detection and wall-following task in action:
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Beacon Detection:
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Wall Following Task:
- ESP32 Microcontroller
- C/C++ compiler
- HTC VIVE system for localization
- Infrared sensors and Ultrasonic sensors for object detection
- Clone this repository:
git clone https://github.com/your-username/autonomous-robot-project.git