Skip to main content
Jaehong Oh

αAbout

Jaehong Oh.

Robotics engineer and AI researcher working at the boundary between the mathematics of perception and the engineering of embodied systems. Currently Product Owner for RX at ROBOTIS AI — an industrial machine-tending automation platform — with a B.S. in Mechanical Engineering from Soongsil University, completed in August 2026.

  • Soongsil University
  • ROBOTIS
  • Doosan Robotics

Read the full biography — English

What I'm working on

The current main programme is Unified Latent Representation (ULR) : a test of what learned systems share, what makes a representation identical, how learning differs from inference for an observer, and when organization forms. Its current result is deliberately negative — Canon 24 · Ledger 105 records no additional neural-specific ontology in the present registry. SCC is preserved as historical · archived programme, while the original ONN + ORTSF programme is audited · archived programme. ONN's strong higher-order thesis did not survive audit; the scoped boundary, modest surviving signal, and scoped scalar stability result remain public, while system-level certification is still open. These failures and surviving boundaries feed the ULR programme. The original framing remains the published paper of record.

As of October 2026, my working research separates what training forms, how that structure constrains responses, and what observations can identify. A parallel conceptual inquiry asks how relevance and evaluation arise. Read the learned-structure update and situation-understanding note. These are open research directions, not a change to the canonical verdict.

Education

Soongsil University · Seoul

B.S. in Mechanical Engineering, completed August 2026 — focus on Robotics, AI/ML, and Control Systems. Member of the Fluid Mechanics Laboratory and the Intelligent Robotics Laboratory.

Experience

  1. Product Owner, RX · ROBOTIS AI

    Full-time. Owns the RX programme end to end — an industrial machine-tending automation platform — from problem definition and scope through architecture decisions, delivery, and the criteria a release has to meet before it ships.

  2. Research Intern · ROBOTIS (Perception Team)

    End-to-end autonomous-driving research. Developed and evaluated perception pipelines for autonomous navigation systems.

  3. Research Team Leader · Intelligent Robotics Lab, Soongsil

    Led a reinforcement-learning-based Hidden Object Finding project on a robot manipulator — novel algorithms for object discovery in occluded environments, integrating vision, tactile feedback, and predictive reasoning under PyTorch and ROS 2.

  4. Project Team Leader · Fluid Mechanics Lab, Soongsil

    Led a Janus-particle synthesis project for bio-pharmaceutical applications. Electrohydrodynamics (EHD) research with 3D-printed Y-shaped microfluidic channels, combined with CFD simulation and experimental validation.

  5. Development Team Leader · Aviation Society Cheonggeumbi

    End-to-end development of a 4-axis autonomous flight drone — custom CAD frame (AutoCAD, SolidWorks), PID control, sensor fusion, and a cross-functional mechanical / electrical / software team.

Selected publications

All papers →

Selected engineering projects

  • RobotTransformation · October 2026

    Personal project, separate from employer work. A simulation source preview for configuring and inspecting robot workflows, with explicit handling of unknown outcomes and recovery. Post-release verification failures remain unresolved; physical deployment and an installable product are not yet qualified.

  • AntBot navigation · merged April 2026

    Open-source contribution separating real-robot and simulation launch paths, normalizing LiDAR scans, updating Nav2 configuration, and documenting operation. PR #1 merged on April 13, 2026.

  • Industrial Safety Monitoring System · TurtleBot3 + YOLOv5 · 2024

    Autonomous patrol robot for real-time detection of helmets, safety vests, and protective eyewear. SLAM-based navigation with dynamic obstacle avoidance (LiDAR + RGB-D); ≥ 95 % detection accuracy; MQTT-based real-time alerting.

  • Precision Liquid Injection Control System · Fluid Mechanics Lab · 2023

    High-precision concentration control for bio-pharmaceutical applications. Load-cell mass measurement with Extended Kalman Filter (0.1 g precision), ROS 2 multi-threaded sensor / control / UI pipeline, modified-Bernoulli feedback for 0.5 % accuracy in target concentration.

  • RL-based Soma Cube Assembly · Doosan M0609 · 2024

    Joint research on legal-action masked DQN and regrasp constraints on a Doosan M0609. First-author preprint with Seungjun Jung and Sawoong Kim, published on arXiv in August 2025; experimental results do not establish general production qualification.

Technical

Robotics & control
ROS 2 · robot manipulation · autonomous systems · SLAM · PID · sensor fusion
AI & ML
PyTorch · TensorFlow · reinforcement learning · computer vision · YOLOv5 · deep learning
Languages
Python · C++ · MATLAB · Git · Linux
CAD & mechanical
AutoCAD · SolidWorks · Autodesk Inventor · 3D printing · CFD
Tools
Unity · MQTT · WebSocket · Docker · Intel RealSense · Arduino · Raspberry Pi

Certifications

  • CAT (Certified Associate in Technology) Level 1 — Korea Productivity Center, Aug 2024
  • Doosan Robotics Bootcamp — Doosan Robotics, 2024

Contact

Email
jack0682@naver.com
GitHub
github.com/jack0682
arXiv
arxiv.org / Oh Jaehong
Location
Seoul, South Korea