Team Status Report 20th April

•What are the most significant risks that could jeopardize the success of theproject? How are these risks being managed? What contingency plans are ready?

Our most significant risk at this point is not having enough time for us to finish integration. This risk has been managed by having us work on different parts of the project parallel leading us to just need to just integrate and test the search algorithm over the next week. Contingency plans are various simplifications we can make to the search algorithm to complete our final demo.

Were any changes made to the existing design of the system (requirements,block diagram, system spec, etc)? Why was this change necessary, what costsdoes the change incur, and how will these costs be mitigated going forward?

We switched back to using SLAM cause we got it working and we figured out how to get SLAM and our object detection working together, hence we didn’t need to pivot to a magnetometer which was a great finding. SLAM also gives us accurate heading data which helps our search algorithm. Additionally, we are now no longer running an image publisher node and instead launching a hardware accelerated realsense camera node within our node container alongside yolov8 and VSLAM

Provide an updated schedule if changes have occurred.
Next week’s sole focus right now is integration and final testings, we have most of the components we need for our project individually but we need to combine them together.

This is also the place to put some photos of your progress or to brag about athe component you got working.

Slam and Object Detection working

Two hexapods assembled and beginning to test communication and collaborative behavior.

https://docs.google.com/presentation/d/146rbdmwq4HQAA4EFEV7s1tSQf6OJx3z_CFxVmjaCUdc/edit#slide=id.p

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