Changes between Version 43 and Version 44 of Other/Summer/2023/RobotTestbed

Timestamp:

Aug 7, 2023, 5:00:50 PM (15 months ago)

Author:

katrinacelario

Comment:

—

Other/Summer/2023/RobotTestbed

@@ -240 +240 @@
 **[https://docs.google.com/presentation/d/1cuRq7wwAi_VLquOAnOBlh81yTnIRZ29ZyBd3wXOo2Cc/edit?usp=sharing Week 10 Presentation]**
 
-===Summary===
-After ten weeks, the group was successful in creating a functional website, designing a coordinate system, automating wifi processes, and installing PTP for the R-Pi’s, and explored the possible use of Unity/ROS.
-
-===Future Work===
-For the future, the group is looking to modify certain aspects of the project as well as conducting experiments.
-
-Hardware for PTP: TimeCard mini Platinum Edition from OCP-TAP 
-Set up Maestros/Cameras in coordinate grid
-data collection/labelling
-
-
-Automatic labelling: Label activity using natural language descriptions of video data 
-Bridge gap between sensor-to-text
-
+=== Summary ===
+After ten weeks, the group was successful in creating a functional website, designing a coordinate system, automating wifi processes, and installing PTP for the Raspberry Pi’s, and explored the possible use of Unity/ROS.
+
+=== Future Work ===
+For the future, the group is looking to modify certain aspects of the project as well as conducting experiments for the large language model.
+
+First, the group is planning to purchase hardware for PTP. This focuses on the TimeCard mini Platinum Edition from OCP-TAP. Although the group got software emulation to work, the hope is to achieve higher accuracy using this hardware setup. After choosing which method is better, the group plans on setting up the MAESTROs and cameras in the coordinate system. Hopefully, data collection can start in the near future. 
+
+
+''' insert TimeCard mini '''
+
+After gathering enough sensor and camera data, the training of the neural network can been. The goal is to label sensor activity using natural language descriptions of video data. What the group group hopes this project is able to achieve is to bridge gap between sensor-to-text.
+