Team Status Report 3/23

     The most significant risk that could jeopardize the success of the project is still related to our method of doing obstacle avoidance in combination with SLAM. We have multiple plans to pivot from SLAM if the data proves to be too difficult to use. One possible solution would be to gather the SLAM data but rely on our ultrasound sensor for obstacle avoidance. In this case our SLAM data could be collected and brought back to a central computer that a human SAR team member uses. This data could then be used to visualize the target area, allowing human team members to better traverse the terrain. We are a bit behind schedule but we hope to catch up soon as we are starting to implement the search algorithm on our actual robot. We made a good amount of progress in the past week as we got object detection and the hexapod controls working. These will be further talked about in the individual reports.