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Chanyeok Choi — Robot engineer, MS in Applied AI at Hanyang University.

Contact Information

Name Chanyeok Choi
Professional Title Robot Engineer · MS in Applied AI, Hanyang University
Email angledsugar@gmail.com

Experience

  • 2022 - present

    Seoul, South Korea

    Graduate Research Assistant
    Hanyang University
    Robot learning research under Prof. Youngmoon Lee.
    • Self-Supervised Critical Phase Detection (CPD): step-level premature-commitment detector and ≈ 1K-parameter residual adapter for frozen π₀ / π₀.₅ VLA policies on LIBERO; cross-modal execution gap between action-expert latent and proprioception (preprint, under review).
    • Poisoning attacks on multi-agent RL: reward-poisoning attacker agent on cooperative PPO/SAC crawlers in a Unity 50×50 m benchmark; 18.7%/20.9% reward drop in multi-agent PPO/SAC, up to 98.1% in single-agent SAC (Humanoids 2025 LBR).
    • Safety-RL: bridging the sim-to-real gap by allowing safe optimization and exploration during robot learning.
    • Vision (HumanPose): hybrid PoseNet/SegNet approach for crowded scenes with overlap and occlusion.
  • 2021 - 2021

    South Korea

    Research Intern
    KITECH — Process Platform Research Division
    • Researched AI methods for detecting defective products on high-speed conveyor belts.
  • 2019 - 2020

    Seoul, South Korea

    Research Intern
    Hanyang University — CAI Lab

Profile

Education

  • 2022 - present

    Seoul, South Korea

    MS
    Hanyang University
    Applied Artificial Intelligence
    • Advisor: Prof. Youngmoon Lee
    • Research on safety-RL, poisoning attacks on multi-agent RL, and vision-language-action policy failure detection.
  • 2018 - 2022

    Seoul, South Korea

    BS
    Hanyang University
    Robotics
    • Advisors: Prof. Youngmoon Lee, Prof. Taejoon Park, Prof. Changsoo Han

Publications

  • 2026
    Self-Supervised Critical Phase Detection for VLA Refinement
    Preprint (under review)

    Self-supervised step-level critical-phase detector and ≈ 1K-parameter residual adapter that refines frozen π₀ / π₀.₅ VLA policies inside detected phases.

  • 2025
    Poisoning Attacks on Multi-Agent Reinforcement Learning Systems
    IEEE-RAS International Conference on Humanoid Robots (Humanoids), Late-Breaking Report
  • 2024
    HAPtics: Human Action Prediction in Real-time via Pose Kinematics
    International Conference on Pattern Recognition (ICPR), Kolkata, India
  • 2024
    Causes and Fixes of Unexpected Drone Shutoffs
    ACM/IEEE International Symposium on Low Power Electronics and Design (ISLPED)
  • 2024
    Snapbot: Enabling Dynamic Human Robot Interactions for Real-Time Computational Photography
    ACM/IEEE International Conference on Human-Robot Interaction (HRI), Late-Breaking Report
  • 2023
    Leveraging Keypoints as Dynamic Centroids for Unified Representation of Human Pose and Instance Segmentation
    Preprint (withdrawn from CVPR 2024)
  • 2023
    SSK-DNN: Semantic and Sentiment Knowledge for Incremental Text Sentiment Classification
    IEEE ICDM Workshop on Incremental Learning (IncrLearn), Shanghai, China

Awards

  • 2023
    Information & Communication Planning and Evaluation President Award (2nd place) — SW Talent Festival

    AnimeGAN Filter Photographer: a manipulator that frames and captures stylized portraits under safety-RL constraints.

  • 2021
    Capstone Design Award (3rd place) — Hanyang University

    Guide Robot Dog: a full-stack quadruped robot motivated by guide dogs, intended to assist visually impaired pedestrians.

Teaching

Lead Teaching Assistant — Robot Vision System: Hanyang University, Fall 2022 & Fall 2023. Lead other graduate TAs for a class of 30–40 students; developed an autonomous robot training and vision environment in Unity. [[Materials](https://github.com/Angledsugar/RobotVisionSystem)]
Teaching Assistant — Robot Learning: Hanyang University, Spring 2022 & Spring 2023. Class of 40–50 students. Designed a Pac-Man RL project and an ultrasonic-sensor self-driving car kit for real-world maze escape. [[Materials](https://github.com/Angledsugar/RobotVisionSystem)]

Skills

Robot Learning (Advanced): Reinforcement Learning, Safety-RL, Sim-to-Real, Vision-Language-Action, Multi-Agent RL, Adversarial / Poisoning Attacks
Perception (Intermediate): Human Pose Estimation, Segmentation, Self-Supervised Representation Learning
Engineering (Advanced): Python, PyTorch, ROS, Unity, C++, Embedded Control, Field Robotics

Languages

Korean : Native speaker
English : Professional working proficiency

Interests

Research Interests: Vision-Language-Action policies, failure / critical-phase detection, safe robot learning, sim-to-real transfer, multi-agent RL, human-robot interaction