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Research Area

Intelligent Embedded Software Architecture for Service Robots

  • Control Software Considering Concurrency and Synchronization in Python

  • 3D SLAM and Navigation utilizing ROS2 packages

  • AI-based Object Detection and Facial Recognition

  • Deployment on low-power embedded systems (Jetson Xavier NX)

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Real-time Control System for Multi-axis Robots

  • Real-time Linux (Xenomai, RT-Preempt) and open-source EtherCAT Master Control System

  • Collaborative Robot Kinematics and Dynamics based on ROS2

  • Synchronization mechanism for teleoperated robotic system

  • Deployment on various Intel/ARM Embedded Systems​​

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Real-time for Embedded AI / AI for Real-time Embedded Systems

  • Integration of High-level Computer Languages (Python, Rust, etc.) to Real-time Systems

  • Dynamic Task Scheduling for Deep Learning / Reinforcement Learning Systems

  • Optimization of Edge Computing Devices

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