Remotely Piloted Vehicles
Team Members: Dhruv Ramaswamy, Nandini Venkatesh, Daniel Mahany. Advisor: Dr. Richard Martin

Project Objective

Low-latency networking is an emerging technology for use in remote sensing and control of vehicles and robots. In this project, interns will develop software for remote piloting vehicles with both mecanum and front wheel steering using low latency networks. Additional sensing, such as additional cameras, range sensors, and audio feedback will be added to aid the pilots. At the end of the project, interns will demonstrate remote piloting a vehicle attached from anywhere in the Internet with speed, precision, and accuracy, in a modeled urban environment. Interns will also evaluate the strengths and weaknesses of remote piloting interfaces for ground-based vehicles.

Week 1

• Set up GitLab and ORBIT accounts.
• Rebuilt Servo Steer car and wrote code to get it driving and steering.
• Accessed the Raspberry Pi terminal via SSH to run code wirelessly.
• Explored camera options for Servo Steer car.
• Researched methods for wireless data transmission between the microcontroller and a laptop.
  • Started establishing a client-server connection between a MacBook and the Raspberry Pi on the Servo Steer car.

• Assembled hardware and electronics for the mecanum robot.

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Goals for next week:

1. Establish the client-server connection with our laptop and the Servo Steer car.
   • Begin developing client-side controls
   • Begin sending camera frames to the client side
2. Set up and develop mecanum software (eventually focus on maneuverability and efficiency)

Week 2

Week 3

Week 4

Week 5

Final Product