Changes between Version 21 and Version 22 of Other/Summer/2023/RobotTestbed


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Timestamp:
Jul 20, 2023, 6:01:55 PM (12 months ago)
Author:
katrinacelario
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  • Other/Summer/2023/RobotTestbed

    v21 v22  
    44**WINLAB Summer Internship 2023**
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    6 **Group Members:** Jeremy Hui, Katrina Celario, Julia Rodriguez, Laura Liu, Jose Rubio, Michael Cai
     6**Group Members:** Jeremy Hui^UG^, Katrina Celario^UG^, Matthew Grimalovsky^UG^, Julia Rodriguez^UG^, Logan Pasternak^UG^, Laura Liu^HS^, Jose Rubio^HS^, Michael Cai^HS^, Hedaya Walter^GR^, Sonya Yuan Sun^GR^
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    88== Project Overview ==
    9 The main purpose of the project is to focus on the Internet of Things (IoT) and its transformative potential when intertwined with Machine Learning (ML). To explore this subject, the group continues the work of the '''''!SenseScape Testbed''''', an IoT experimentation platform for indoor environments containing a variety of sensors, location-tracking nodes, and robots. This testbed enables IoT applications, such as but not limited to, human activity and speech recognition and indoor mobility tracking. In addition, this project advocates for energy efficiency, occupant comfort, and context representation. The ''!SenseScape Testbed'' provides an adaptable environment for labelling and testing advanced ML algorithms centered around IoT.
     9The main purpose of the project is to focus on the Internet of Things (IoT) and its transformative potential when intertwined with Machine Learning (ML). To explore this subject, the group continues the work of the '''''!SenseScape Testbed''''', an IoT experimentation platform for indoor environments containing a variety of sensors, location-tracking nodes, and robots. This testbed enables IoT applications, such as but not limited to, human activity and speech recognition and indoor mobility tracking. In addition, this project advocates for energy efficiency, occupant comfort, and context representation. The ''!SenseScape Testbed'' provides an adaptable environment for labeling and testing advanced ML algorithms centered around IoT.
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    1111=== Hardware ===
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    13 This project is centered on a specific piece of hardware referred to as a '''''MAESTRO''''', a custom multi-modal sensor designed by the previous group. The MAESTRO is capable of perceiving different types of data from its environment.
     13This project is centered on a specific piece of hardware referred to as a '''''MAESTRO''''', a custom multi-modal sensor designed by the previous group. The MAESTRO is capable of perceiving different types of data from its environment (listed below) and is connected to a Raspberry Pi, a microcomputer with the Raspberry Pi OS Lite (Legacy) installed. In addition, the group is leaning towards using a Raspberry Pi Camera Module for the camera.
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