Doing Academic Research
학술 연구 수행
Learn how to do all kinds of academic research: papers, projects, capstone design, conference presentations, journal publications.
Foundations of Physical AI
피지컬 AI 기초
Sensors, actuators, and the full AI stack from first principles. No prior ML experience required.
Edge AI and Embedded Systems
엣지 AI 및 임베디드 시스템
TinyML, RTOS, and real-time inference on constrained hardware. Covers Arduino, ESP32, and Raspberry Pi.
Robotic Systems and Control
로봇 시스템 및 제어
Kinematics, ROS 2, and perception–action loops. Build and program a 4-DOF robot arm from scratch.
Datasets and Benchmarks
데이터셋 및 벤치마크
Lab-produced open datasets for Physical AI research. All released under CC-BY 4.0.
Arduino: Foundations of Physical Computing
아두이노: 피지컬 컴퓨팅 기초
Learn physical computing with Arduino — from blinking LEDs to sensor integration and motor control. No prior hardware experience required.
ESP32: IoT and Wireless Physical AI
ESP32: IoT와 무선 피지컬 AI
Build Wi-Fi-enabled sensors, MQTT pipelines, and edge AI applications using the ESP32 microcontroller.
Jetson Nano: GPU-Accelerated Physical AI
Jetson Nano: GPU 가속 피지컬 AI
From JetPack setup to real-time neural inference — run YOLO, segmentation models, and ROS 2 nodes on NVIDIA Jetson Nano.