Navigate Mobile Car in Simulation

Job Description:

1. Project Objective

• Get familiar with mobile robot simulation

• Understand intelligent robot programming

• Apply inverse kinematics and navigation algorithms in simulated environments

2. Project Steps

1. Environment setup should be the same with the mid-term project

2. Run [login to view URL] to test if the environment is ready for the following tasks

◦ The outputs should be: A mobile robot and six obstacles in the environment

3. Implement the two functions under “implement your function here” section in [login to view URL]

◦ control_car function to control the car

◦ navigate_car function to navigate the car to the final location

▪ using navigation algorithms discussed in class

▪ from [0, 0] to [9, -9] (already given in the code)

◦ Finish the two functions mentioned above and do NOT change other part of the code

4. Record a video for a successfully trail

3. What you need to submit

• Functional [login to view URL] (30 points)

• Demo illustration (30 points)

◦ A video that demonstrates a successful navigation trail to the final position.

• Project Report (40 points)

◦ A project report that in academic paper format should be written for this project. (the same format used in project 1)

◦ The report should include:

▪ Introduction (5%)

• Background about car navigation (2%)

• Procedure of the project (2%)

• Brief Summary of the project (1%)

▪ Project Descriptions (10%)

• Describe the procedure (2%)

• Describe the applied algorithm/methods of the project (4%)

• Show the formula or equation or function of calculating the direction of travel and speed (3%)

• Include a picture of the generated environment with the robot (1%)

▪ Results (10%)

• Generated or planned trajectory of the robot moving in the environment (5%)

• Snapshots of successful and failed navigation (hitting obstacles etc, if there are any) (5%)

▪ Discussion of results (10%)

• Discuss the advantages and disadvantages of the designed control algorithms. Why is it successful? (5%)

• Discuss the designed trajectory of robot navigation. What are the key parameters and how are the parameters are selected? (5%)

▪ Conclusion (3%)

• Conclude the report, what you have done (1%), what results you have got (1%), what worked and what did not (1%).

▪ Reference (1%)

Færdigheder: Python, Robotics and Cognitive Automation

Projekt ID: #35449562