118 lines
6.1 KiB
TypeScript
118 lines
6.1 KiB
TypeScript
import React from 'react'
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import { Box, Typography } from '@mui/material'
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import { AcademyIconLink, DescriptionIconLink, GitHubIconLink, VideoIconLink } from 'components/atoms'
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import { Footer, Hero, Toobar, ProjectSpotlight } from 'components/molecules'
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const MainPage = () => {
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React.useEffect(() => {
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document.title = 'Michele Tartari'
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}, [])
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const refIITLinfa = React.useRef<HTMLSelectElement>(null)
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const refIITModular = React.useRef<HTMLSelectElement>(null)
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const refIITCalibration = React.useRef<HTMLSelectElement>(null)
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const refWUTThesis = React.useRef<HTMLSelectElement>(null)
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return (
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<Box aria-label="page" sx={{ flexGrow: 1 }}>
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<Toobar position="absolute" sx={{ backgroundColor: 'transparent' }} />
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<Hero scrollTarget={refIITLinfa} />
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{/* 1 IIT - Linfa */}
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<ProjectSpotlight
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ref={refIITLinfa}
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scrollTarget={refIITModular}
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anchor="bottom"
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image="images/IIT_Linfa.png"
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title="LINFA: An Intuitive Block-Programming Interface for Reconfigurable Robots"
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caption={
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<>
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<VideoIconLink size="small" fontSize="small" href="https://www.linkedin.com/feed/update/urn:li:activity:7034480841569284096/" />
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<Typography component="span" variant="caption">
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Software Engineer @ IIT
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</Typography>
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</>
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}>
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This project aims to simplify the control, monitoring, and programming of reconfigurable robots through an intuitive block-programming
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interface. It includes a front-end web app, built with TypeScript and React, allowing users to effortlessly change robot operating modes and
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settings, monitor the robot's state, and assemble programs by dragging and dropping code blocks representing various robot capabilities.
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Additionally, back-end services, developed with TypeScript and Python, translate these programs into formats compatible with the underlying
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systems and manage mission execution. The project emphasizes extensibility, enabling users with Python experience to integrate custom blocks
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and capabilities. Automated CI/CD pipelines further streamline integration and deployment processes.
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</ProjectSpotlight>
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{/* 2 IIT - Modular */}
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<ProjectSpotlight
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ref={refIITModular}
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scrollTarget={refIITCalibration}
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anchor="right"
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// anchor="left"
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image="images/IIT_Modular.png"
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title="Revamping HHCM's Modular: Swift Generation of Modular Robot Models"
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caption={
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<>
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<GitHubIconLink size="small" fontSize="small" href="https://github.com/ADVRHumanoids/motor_calibration" />
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<Typography component="span" variant="caption">
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Software Engineer @ IIT
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</Typography>
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</>
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}>
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This project focused on overhauling HHCM's Modular, enhancing its graphical interface, API, and deployment pipeline. Modular serves as a web
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application for the swift generation of modular robot models, with an offline approach (Building Mode) enabling users to set up robots in a
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virtual environment by selecting and assembling reconfigurable modules, immediately visualized in 3D. Additionally, an online approach
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(Discovery Mode) allows users to query the EtherCAT master for network topology, recognizing and displaying robots built from physical modules
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in 3D. The system seamlessly produces URDF, SRDF, and a full ROS package that can then be utilized for simulating and controlling the robot.
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</ProjectSpotlight>
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{/* 3 IIT - Motor Calibration */}
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<ProjectSpotlight
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ref={refIITCalibration}
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scrollTarget={refWUTThesis}
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anchor="left"
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image="images/IIT_Modules.jpg"
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title="Automated Actuators and Robotic Modules Calibration"
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caption={
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<>
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<GitHubIconLink size="small" fontSize="small" href="https://github.com/ADVRHumanoids/motor_calibration" />
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<Typography component="span" variant="caption">
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Embedded Engineer @ IIT
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</Typography>
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</>
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}>
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This project focused on automating the calibration of EtherCAT actuators and robotic modules, aiming for a fully automated procedure for newly
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assembled actuators. The process involved testing the PDO, conducting phase angle calibration, torque sensor calibration, ripple and
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position-dependent torque offset calibration, inertia and friction identification, and frequency response calibration. The goal was to
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optimize motor performance and collect necessary data for accurate characterization, with results stored centrally and presented in a
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comprehensive PDF report.
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</ProjectSpotlight>
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{/* 4 WUT - Master Thesis */}
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<ProjectSpotlight
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ref={refWUTThesis}
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anchor="bottom"
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image="images/thesis.jpg"
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title="Voice Controlled Mobile Robot for Indoor Applications"
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caption={
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<>
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<AcademyIconLink size="small" fontSize="small" href="https://doi.org/10.1007/978-3-030-58380-4_7" />
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<DescriptionIconLink
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size="small"
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fontSize="small"
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href="https://drive.google.com/file/d/1wBfvAzy9N8uChNxNj9Kd_hcvI0Qq3uQj/view?usp=sharing"
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/>
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<Typography component="span" variant="caption" color="text.secondary">
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Master Thesis @ WUT
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</Typography>
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</>
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}>
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This thesis proposes a design for a small mobile robot controlled by voice. Firstly a preliminary analysis of the state of art of human-robot
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interaction has been conducted. Then, an analysis of the equipment selected took place, and, later, appropriate methodologies for voice
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recognition and user detection have been evaluated for this specific case. Finally, an overview of the complete software architecture of the
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system was given with three possible structures and their comparison. The results obtained show both the feasibility of using low power boards
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and some of their limitations.
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</ProjectSpotlight>
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<Footer />
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</Box>
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)
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}
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export default MainPage
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