WHAT I WORK WITH

Skills.

Programming

HTML

CSS

JavaScript

TypeScript

Dart

PHP

Java

C++

Rust

Python

Technologies

React

Node.js

Next.js

Flutter

ROS

Arduino

Raspberry Pi

Autoware

OpenCV

NS-3

Unity

TensorFlow

PyTorch

Hugging Face

LangChain

Omniverse

AWS

SQLite

MySQL

PostgreSQL

Firebase

Supabase

MongoDB

Pinecone

Git

Docker

Linux

Design

Figma

Illustrator

Photoshop

Premiere Pro

Canva

WHAT I WORK WITH

Skills.

Programming

HTML

CSS

JavaScript

TypeScript

Dart

PHP

Java

C++

Rust

Python

Technologies

React

Node.js

Next.js

Flutter

ROS

Arduino

Raspberry Pi

Autoware

OpenCV

NS-3

Unity

TensorFlow

PyTorch

Hugging Face

LangChain

Omniverse

AWS

SQLite

MySQL

PostgreSQL

Firebase

Supabase

MongoDB

Pinecone

Git

Docker

Linux

Design

Figma

Illustrator

Photoshop

Premiere Pro

Canva

MY ACADEMIC JOURNEY

Research.

Research Interests

• Intelligent Robotics

• Digital Twin

• World Models

• Robot Vision

Current Research

Autonomous Mobile-Sensor Placement System Using Deep Reinforcement Learning for Digital Twin Construction

By enabling mobility in LiDAR-equipped robots, the system dynamically adjusted sensor positions to expand coverage, providing a practical and scalable solution for sensor placement in complex, changing urban environments.

World Model-Based Communication Prediction and Multi-Robot Coordination Enabled by Digital Twin

Autonomous robotic systems using World Models for predictive communication and control, leveraging digital twins and multi-agent simulation to study adaptation in dynamic, networked environments.

MY ACADEMIC JOURNEY

Research.

Research Interests

• Intelligent Robotics - AI robots that can perceive, reason, and act autonomously in complex environments

• Digital Twin - Replication of real-world in a virtual environment with especially 3D LiDAR sensorn

• World Models - AI's internal model for simulating and predicting outcomes, including unseen factors

• Robot Vision - Computer vision for scene understanding and SLAM to enhance perception

Current Research

Autonomous Mobile-Sensor Placement System Using Deep Reinforcement Learning for Digital Twin Construction

World Model-Based Communication Prediction and Multi-Robot Coordination Enabled by Digital Twin

Autonomous robotic systems using World Models for predictive communication and control, leveraging digital twins and multi-agent simulation to study adaptation in dynamic, networked environments.

MY WORKS