Taewan Cho at ICRA 2026 in Vienna

Taewan Cho

I am a Ph.D. Student at KAIST AI, advised by Prof. Han-Lim Choi in the Laboratory for Information and Control Systems (LiCS). My research interests include vision-language models, multi-agent systems, and intelligent robotics. I am particularly interested in how robot swarms coordinate and make decentralized decisions under limited sensing, communication, and computation. My long-term interests also include superintelligence and how learning and reasoning can enable more capable autonomous systems.

  • Vision-Language Models
  • Multi-Agent System
  • Intelligent Robotics
  • Superintelligence
Depth-fusion architecture combining wrist, top, and side camera features with robot state to predict action sequences

Asia-Pacific International Symposium on Aerospace Technology (APISAT)

Enhancing Imitation Learning for Space Robotic Arm via Monocular Vision-based Spatial Embedding

Taewan Cho, Jiyeon Koo, Andrew Jaeyong Choi

Learning spatial embeddings from monocular images to improve imitation learning for robotic manipulation in spacecraft docking assistance.

Full publication list on Google Scholar

Founder · –Present

I founded Plaid Labs, where we help businesses modernize their operations through Digital Transformation (DX) and AI Transformation (AX). We build and integrate software and AI systems, from workflow automation and private LLM deployment to edge and on-device AI connected to existing hardware.

  • NUVION — Edge AI visual inspection for manufacturing, using zero-shot anomaly detection.
  • OPSCALE — A platform for sharing team knowledge and reusable AI skills, and automating agent workflows.

On-Device Defect Detection Apparatus and Defect Detection Method Using the Same

온디바이스 결함 탐지 장치 및 이를 활용한 결함 탐지 방법

Korean Patent No. 10-2986636 · Granted