What did you personally accomplish this week on the project? Give files or photos that demonstrate your progress. Prove to the reader that you put sufficient effort into the project over the course of the week (12+ hours).
Over the past week(s), I was able to deploy Isaac ROS YOLOv8 on the Jetson Orin Nano – it took a while to setup all the dependencies as well as understand how to use Docker containers. Isaac ROS YOLOv8 is able to run within a second or so on a simple photo, which is significantly faster than YOLOv7 on the Jetson Nano.
I was also able to complete the simulated search algorithm to include and account for multiple Hexapods, and profile the expected speedups we should see through multiple simulated runs. The example below shows that we should expect to see over a 2x speedup with 3 hexapods. The example on the left simulates the Hexapods without optimized behaviour (walk randomly), and the example on the right simulates the Hexapods with optimized behaviour (avoid places that you have previously walked).
Is your progress on schedule or behind? If you are behind, what actions will be taken to catch up to the project schedule?
I think I am more or less on our original schedule. However, since we failed to account for the work we had to do in SLAM and map merging, I think I will need to put in more effort for the second half of the semester.
What deliverables do you hope to complete in the next week?
For this week, I think I will take the initiative and begin implementing the SLAM and map merging algorithms on the robots, which first involves installing the cameras onto the robot and interfacing it with the Jetson Orin Nanos.