Project Name: Autonomous Robo Collision Avoidance System
Related Organization: Shoolini University, B.Tech CSE
Time Period: February 2024 - May 2024
Project Type: Academic Project
Role: Lead Developer & Designer
Project Description:
Developed an autonomous robotic system capable of detecting and avoiding obstacles using infrared (IR) sensors and an AT89C51 microcontroller. The project involved designing a circuit with sensors and actuators, writing control code in C, and implementing motor control logic for real-time obstacle detection and avoidance.
Relevant Responsibilities, Contributions, and Achievements
- Circuit Design & Development: Designed and developed a robust circuit using PC817 optocouplers, L293D motor driver IC, and AT89C51 microcontroller for real-time obstacle detection and avoidance.
- Programming: Coded the control logic in C for motor control based on input from IR sensors, ensuring smooth and accurate navigation of the robot.
- System Integration: Integrated hardware components with software logic to achieve a fully functional autonomous system.
- Testing & Optimization: Conducted multiple testing iterations to fine-tune sensor sensitivity and motor control for optimal obstacle avoidance performance.
- Documentation: Provided comprehensive project documentation, including schematic diagrams and code annotations, to facilitate understanding and future improvements.
Technologies Used: AT89C51 Microcontroller, C Programming, L293D Motor Driver, PC817 Optocoupler, IR Sensors, Proteus for Schematic Design, Keil µVision for Code Development
Outcome
Successfully developed an autonomous robot capable of avoiding obstacles with a 95% accuracy rate in testing environments, leading to the project being selected for presentation at the university's annual tech symposium.
Project in 2 Short ATS Measurable Points for Display on Web
- Designed and programmed an autonomous obstacle-avoidance robot achieving a 95% accuracy rate using AT89C51 microcontroller and IR sensors.
- Integrated hardware and software systems to deliver a fully functional robotic system showcased at a university symposium.
Project in 1 Short Line for One-Page Resume
Developed and integrated an autonomous robotic collision avoidance system using IR sensors and an AT89C51 microcontroller, achieving a 95% accuracy rate.