Publishes real-world projects (robots, AI, drones, automation), organized by person, chapter, location, or country.
Problem: Mobile robots operating in unknown environments risk collisions with obstacles, reducing reliability and autonomy. Solution: Design and build an intelligent robotic car capable of automatically detecting and avoiding obstacles in real time using onboard sensors and embe
This project involved the complete design and implementation of an autonomous obstacle-avoiding robot car developed over a period of three days. The robot is capable of detecting obstacles in its environment and adjusting its motion automatically to avoid collisions without human intervention.
The robot continuously monitors its surroundings using distance sensors mounted at the front of the chassis. When an obstacle is detected within a predefined range, the control system makes a real-time decision to stop, turn, or change direction.
This behavior allows the robot to navigate safely in indoor environments with static obstacles.
Mechanical & Design
3D modeling of the robot chassis using Onshape
Mechanical layout optimized for stability and sensor placement
Electronics
Design and assembly of the electronic circuit
Integration of sensors, motors, and motor driver
Programming
Embedded programming in C++ using Arduino
Implementation of decision-making logic for obstacle detection and avoidance
Day 1: 3D design and mechanical assembly
Day 2: Electronic circuit design and wiring
Day 3: Programming, testing, and debugging
The final robot successfully detects obstacles and navigates around them autonomously. The project demonstrates a strong understanding of basic robotics principles, including sensing, control, and hardware–software integration.
Through this project, I developed practical experience in:
Embedded systems programming
Sensor-based navigation
Rapid prototyping
End-to-end robotics system development
Add multiple sensors for wider field of view
Implement smoother path planning
Integrate wireless monitoring or control
