Changes between Version 45 and Version 46 of Other/Summer/2023/RobotTestbed
- Timestamp:
- Aug 7, 2023, 7:05:59 PM (16 months ago)
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Other/Summer/2023/RobotTestbed
v45 v46 212 212 For Week Eight, the group continued working on the Raspberry Pi in hopes to get PTP to run. In addition, as a backup plan, the group looked into buying specific hardware that would allow the PTP function without having to use software emulation. After some research, the hardware being leaned towards is the Compute Module 4 IO Board and the CM4 chip. It was looked into that the hardware method can also achieve better accuracy compared to software. 213 213 214 '''(insert Compute module, CM4 chip, maybe PTP pic of transmit not there)''' 214 {{{#!html 215 <center> 216 <a href="https://www.orbit-lab.org/attachment/wiki/Other/Summer/2023/RobotTestbed/Screenshot%202023-08-07%20145732.png"> 217 <img width="500" title="No software transmit" src="/raw-attachment/wiki/Other/Summer/2023/RobotTestbed/Screenshot 2023-08-07 145732.png" alt="No software transmit"> 218 </a> 219 220 <br> 221 <a href="https://www.orbit-lab.org/attachment/wiki/Other/Summer/2023/RobotTestbed/Screenshot%202023-08-07%20145902.png"> 222 <img width="500" title="Failed to create clock" src="/raw-attachment/wiki/Other/Summer/2023/RobotTestbed/Screenshot 2023-08-07 145902.png" alt="Failed to create clock"> 223 </a> 224 </center> 225 }}} 215 226 216 227 Additionally, the group was able to breakdown and comprehend the past code written by the previous research members. It was found that the Web App created used '''Dash by Plotly''' to easily visualize and label the MAESTRO data. 217 228 218 '''(insert Murtadha's website pic)''' 229 {{{#!html 230 <center> 231 <a href="https://www.orbit-lab.org/attachment/wiki/Other/Summer/2023/RobotTestbed/Screenshot%202023-08-07%20145140.png"> 232 <img width="500" title="MAESTRO data labeler" src="/raw-attachment/wiki/Other/Summer/2023/RobotTestbed/Screenshot 2023-08-07 145140.png" alt="MAESTRO data labeler"> 233 </a> 234 </center> 235 }}} 219 236 220 237 Furthermore, the group continued exploring ROS/Unity through a ROS Point Cloud Visualizer. The point cloud is generated using LIDAR and the data is imported using the PCX library in Unity. With Unity and a first person camera, the room can be interacted with and explored. The goal in the future is for the LIDAR data to be sent in real time using '''ROS rvis''' (a 3D visualization tool).