This project integrates the TI-RSLK Max into ROS (Robot Operating System). ROS will allow one to simulate robotic movement for comparison versus the robots actual movement and error.
The integration of a lidar on the RSLK will allow future SLAM algorithm and path planning. This project is the prequal to being able to simulate and control the autonomous ATV through ROS.
An XBEE module is used for wireless UART communication.
This project is currently under construction and is part of a future publication.
This project featured integration of speech recognition to the TI-RSLK Max. Using an Arduino Nano BLE Sense, the robot could be controlled by speaking movement commands.
A publication on the educational project can be viewed on my publication's page.
As a teaching assistant I am tasked with coming up with new labs for students to complete. The labs gradually add more elements and grow in difficulty over time. The final project usually involves a maze that students have to traverse an exit without touching any objects.
Code debugging
Troubleshooting and Testing
Minimize mechanical error using software
Algorithm and Path Planning
Environment Mapping
Object detection/avoidance