Project timeline
Mars Rover Simulation
Rover simulation with ROS, Gazebo and web-based support components.
Main tools and layers
Project category and focus
Worked on simulation scenarios, rover motion behavior, sensor control separation and test logic. Contribution scope: breaking r...
Used technologies
Technologies used in this project
Key technologies in this project are matched automatically from its technology list and category structure.
Robotics & Automation Advanced
PHP Advanced
MATLAB Advanced
Simulink Advanced
ROS Intermediate
FK/IK Intermediate
Simscape Intermediate
Gazebo Intermediate
Trajectory Planning Intermediate
Details
Project overview
The Mars rover simulation focuses on modeling, testing and scenario based validation of rover behavior before moving to a physical system. A ROS and Gazebo approach helps separate motion, sensor perception, environment effects and control algorithms inside simulation. This kind of work tests not only movement, but also decision flow and perception logic.
System perspective: The project was considered not as a single technical output, but together with requirements, data flow, user interaction, failure scenarios, maintainability and future extensibility. This makes both the engineering decisions and software architecture choices easier to understand.
Implementation detail: The content was expanded to explain not only the technologies used, but also how the problem was approached, which layers were separated, how data and control flow were considered, and which competency the project represents inside the CV.
Portfolio depth: This record highlights not only the technologies used, but also how the requirement was decomposed, how data or control flow was considered, what output is presented to the user and how the project can be extended later. This turns the project card from a short showcase into a readable case study that explains engineering decisions.
Case Study
The technical story from problem to outcome
For rover systems, terrain conditions, sensor data, control commands and task flow should be validated in a safe simulation environment before real hardware testing. Otherwise mechanical and software issues become more costly in the field.
Movement, perception and control scenarios were tested separately with a ROS/Gazebo based simulation.
The simulation environment treats the robot model, sensor inputs and control nodes as separated layers.
The project demonstrates how critical simulation is for design, testing and risk reduction in robotic systems.
Architecture
Block-based system flow
Simulation
The simulation environment treats the robot model, sensor inputs and control nodes as separated layers.
ROS, Gazebo, PHP, Simulation, Robotics
The project demonstrates how critical simulation is for design, testing and risk reduction in robotic systems.
Live showcase
Demo, output and visual story
For rover systems, terrain conditions, sensor data, control commands and task flow should be validated in a safe simulation environment before real hardware testing. Otherwise mechanical and software issues become more costly in the field.
The project demonstrates how critical simulation is for design, testing and risk reduction in robotic systems.
The simulation environment treats the robot model, sensor inputs and control nodes as separated layers.
The project demonstrates how critical simulation is for design, testing and risk reduction in robotic systems.