Jessi
Jessi | |
---|---|
Year Of Creation | 2017-2018 |
Versions | |
Latest Revision | Jessii |
Revision Years | 2018-2019 |
Information and Statistics | |
Farthest Distance | 16 ft |
Fastest Time | n/a |
Highest Finish AutoNav | n/a |
Highest Finish Design | 1st |
← Woodi |
Competitions
IGVC 2018
- Results
- Distance: 5 ft
- Design Competition Placement: 2nd
- AutoNav Competition Placement:
IGVC 2019
- Results
- Distance: 16 ft
- Design Competition Placement: 1st
- AutoNav Competition Placement:
Versions
Jessi
At Competition
Mechanical Design & Improvements
Electrical Design & Improvements
Software Design & Improvements
Jessii
At Competition
Though the team was well-prepared going into 2019 IGVC, several issues came up during competition. On the first day, the mbed was experiencing issues and causing the computer to brownout. The mbed was fried while attempts were being made to fix the problem. Eventually this was solved with a new mbed and a large capacitor, which prevented brownouts from happening, though the whole process of fixing the robot took up the first day of the competition. During the second day, major progress was made; the team was 4th to qualify, which was the earliest Georgia Tech has ever qualified in IGVC. Additionally, the robot had a few successful runs on the course. Most notably, the great backwards run tragedy of 2019 happened. During this run, the robot turned itself around and went BACKWARDS on the course, though it went extremely far. This ended up being (absolute-value) the second longest run achieved by any robot in the competition this year, though it didn't count towards our score since it was backwards.
Mechanical Design & Improvements
Electrical Design & Improvements
For Jessii, the electrical team focused on iterating on several components of Jessi's system to improve weaknesses seen at the prior competition.
- Custom Computer and Improved Sensors
- To improve computational capabilities and performance we upgraded our computer and other sensors
- Intel i7-8700K 3.7GHz 6 Core Processor, Nvidia GTX 1060 GPU, 32GB RAM
- GPU was chosen for CUDA support
- Hotswap capability was brought using a PCB though not implemented before competition
- Velodyne Puck VLP-16 3D LiDAR
- YostLabs 3-Space Micro USB IMU
- Intel i7-8700K 3.7GHz 6 Core Processor, Nvidia GTX 1060 GPU, 32GB RAM
- To improve computational capabilities and performance we upgraded our computer and other sensors
- E-Stop
- E-Stop circuitry was consolidated onto E-Stop PCB
- Relay was used instead of a transistor used in version 1.0
- Ethernet Communication Protocol
- The logic board, the custom PCB which handles motor control switched from a virtual serial interface from MBed to a custom Ethernet communication protocol for robustness