Chenghao Xiang

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Chenghao Xiang

嵌入式系统与机器人工程师Embedded Systems & Robotics Engineer

Rice University 电子与计算机工程硕士研究生,主要项目涉及嵌入式控制、机器人感知、硬件电路设计、边缘 AI 与机电系统集成。M.S. student in Electrical and Computer Engineering at Rice University, with hands-on project experience in embedded control, robotic perception, hardware design, edge AI, and mechatronic integration.

精选项目Featured Projects

MentorPi 执行器测试录像静帧 / MentorPi actuator-test recording stillMentorPi · 执行器测试MentorPi · Actuator test
01 / SmartCam

SmartCam 多传感器机器人SmartCam · RGB-D Robot Perception

Rice ELEC 594 团队机器人项目:实现 RealSense RGB-D 目标检测与相机坐标估计,并开展 Gazebo 规则式跟踪、数据采集和 SmolVLA 离线实验;机器人通信、建图与 AEB 按团队阶段成果展示。A Rice ELEC 594 team robotics project combining RealSense RGB-D detection and camera-frame estimation with Gazebo rule-based tracking, data collection and SmolVLA offline experiments. Robot communication, mapping and AEB are presented as staged team results.

RealSense RGB-DYOLOv8 / PythonROS 2Gazebo / LeRobotSmolVLA
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STC32 电磁循迹车整车正视 / STC32 vehicle front view
02 / STC32

STC32 电磁循迹智能车STC32 · Electromagnetic Line-Following Car

以双 STC32F12K54、12 路电感和五块板卡构成的电磁循迹参赛车模为主线,展示模拟前端、板间通信、编码器反馈和 PID/PWM 控制,并分别解析不同版本的 C 固件。A declared dual-STC32F12K54 competition vehicle with 12 inductors and five boards, covering analog conditioning, board communication, encoder feedback and PID/PWM control alongside revision-specific C firmware analysis.

STC32F12K5412-channel inductive sensingOPA4377PID / PWMC / ADC
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FIG. 03 / TI MSPM0系统架构示意System architecture diagram
嵌入式智能车控制EMBEDDED VEHICLE CONTROL
  1. 01输入Input
    11 路灰度 + IMU11-Channel Grayscale + IMU
  2. 02控制Control
    MSPM0G3507MSPM0G3507
  3. 03执行Actuation
    PWM / 电机驱动PWM / Motor Driver
传感器输入、嵌入式控制与电机执行Sensor inputs, embedded control, and motor actuation
03 / TI MSPM0

TI MSPM0 智能车控制系统TI MSPM0 · Embedded Vehicle Control

基于 MSPM0G3507,连接 11 路灰度、惯性输入和电机驱动,用 C、Timer/PWM 与 PID 实现采样到执行流程,开展电机调试和参数整定。An MSPM0G3507 vehicle project connecting 11-channel grayscale sensing, inertial input and motor drive through embedded C, timer/PWM control and PID tuning.

MSPM0G3507C / Timer / PWMPIDICM20608AT8236
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ESP32 与 MaixCam 实物装置 / ESP32 and MaixCam hardware
ESP32 / MPU6050 与 MaixCam 实物装置ESP32 / MPU6050 and MaixCam hardware
04 / TinyML

TinyML 惯性手势识别与相机控制TinyML · Inertial Gesture Camera Control

使用 ESP32 与 MPU6050 采集惯性手势,完成轻量模型训练与端侧推理,将识别结果映射为相机指令;研究成果发表于 IJET(2025)。ESP32/MPU6050 gesture acquisition, lightweight model training and on-device inference, mapped to camera commands. Published in IJET in 2025.

ESP32 / MPU6050TensorFlow / KerasTensorFlow LitePythonUART / Wi-Fi UDP
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ADV 户外场景概念效果图 / ADV outdoor concept visualization
概念效果图Concept visualization
05 / ADV

ADV 自主配送机器人ADV · Autonomous Delivery Robot

在配送机器人团队中,参与 Jetson–STM32 串口通信、编码器反馈与 PID 电机控制联调,结合传感接口和 SolidWorks 机械资料协调上位计算、底层执行及结构安装。Worked within a delivery-robot team on Jetson–STM32 UART communication, encoder feedback and PID motor-control integration, using sensor interfaces and SolidWorks materials to coordinate computing, actuation and mounting.

Jetson / STM32UARTEncoder / PIDLiDAR / RGB-DSolidWorks
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2022 热电制冷服团队原型 / 2022 team thermoelectric cooling garment prototype
06 / PID Suit

基于模糊 PID 控制的热电制冷降温防疫服Thermoelectric Cooling Garment with Fuzzy PID Temperature Control

2022 年团队开发的可穿戴热电制冷原型,结合 STM32 温度采集与控制、TEC 制冷、热端散热设计和 SolidWorks 可拆卸机械结构。本人参与硬件制作、结构制作、接线、模糊 PID 计算及操作演示。A 2022 team-developed wearable thermoelectric cooling prototype combining STM32-based temperature feedback, TEC cooling, heat dissipation, and detachable SolidWorks mechanical design. My contributions included hardware and structural fabrication, circuit wiring, fuzzy-PID calculations, and demonstration documentation.

STM32F103C8T6DS18B20 / PWMThermoelectric CoolingSolidWorksMATLAB / Fuzzy PID
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技术方向Technical Focus

嵌入式控制Embedded control

C / C++ · MCU · ADC · PID / PWM

感知与边缘 AIPerception & edge AI

RGB-D · ROS 2 · YOLO · TinyML

硬件与机电集成Hardware & mechatronics

PCB · UART · Sensors · CAD

精选论文Selected Publication

实习与项目经历Experience

硬件质量与测试、数字化流程改进,以及机器人和嵌入式系统团队项目。Hardware quality and testing, digitalization and process improvement, and team projects in robotics and embedded systems.

查看经历View Experience →