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ROBOT CONTROL · PHYSICAL AI · INTELLIGENCE

Robots that move withpurpose.

We build control and intelligence that help robots move, collaborate, and make decisions in complex, human-centered environments.

2023
Established
17
Graduate researchers
5
Research interns

WHAT WE DO

Control Everything.
In the Real World.

From optimal control to Physical AI, our work connects rigorous methods with experiments on real robotic systems.

Whole-body Control research previewWatch experiment ↗02

Dynamic coordination for complex robots

Whole-body Control

  • Whole-body control
  • Hierarchical QP
  • Mobile manipulation
Constrained Motion Planning research previewWatch experiment ↗04

Planning on complex constraint manifolds

Constrained Motion Planning

  • Motion planning
  • Closed-chain
  • RRT
Visual Language Navigation research preview06

Semantic maps for embodied navigation

Visual Language Navigation

  • VLN
  • Semantic mapping
  • Embodied AI
View all research themes →

SELECTED WORK

Recent publications

Research across robot control, motion planning, navigation, and learning-enabled robotic systems.

* Co-first authors† Corresponding authors

Browse publications →
01

Engineering Science and Technology, an International Journal · 2026JCR Top 12.1%

Task-Specific Acceleration-Domain Trajectory Optimization for Smooth and Energy-Efficient Industrial Manipulator Motion

Dongjo Kim, Minhyeong Kang, Hojin Lee, Nakyoung Lee, Stephen Baek, Sanghyun Kim†, Sanga Lee†, Jeongsu Lee†

02

International Journal of Control, Automation, and Systems · 2026

Manifold-Constrained MPPI: Real-Time Sampling-Based Control for Nonlinear Equality-Constrained Robotic Systems

Seulchan Lee, Sanghyun Kim†

03

Information Sciences · 2026JCR Top 18.2%

High-Performance Fixed-Time Active Fault-Tolerant Control of Robotic Manipulators via Sparse Physics-Informed Dynamics Learning

Thanh Nguyen Truong, Sanghyun Kim†

LAB UPDATES

Latest news

All news →
Grant

RCI Lab won a grant from Wonik Robotics.

과제명: 시뮬레이션 상 AGV(QD·SD 타입) 자율주행 환경 구축 및 SLAM·주행계획 개발 · 과제형태: 산학협력 · 지원기관: 원익로보틱스 · 수행기간: 2026

Publication

A paper with Prof. Sanghyun Kim as a co-corresponding author has been accepted to Engineering Science and Technology, an International Journal.

Dongjo Kim, Minhyeong Kang, Hojin Lee, Nakyoung Lee, Stephen Baek, Sanghyun Kim†, Sanga Lee†, Jeongsu Lee†, “Task-Specific Acceleration-Domain Trajectory Optimization for Smooth and Energy-Efficient Industrial Manipulator Motion,” Engineering Science and Technology, an International Journal, 2026.

Grant

RCI Lab won a grant from Konan Technology.

과제명: URDF 물리 파라미터 추정·보정 알고리즘 분석 및 프로토타입 적용·검증 · 과제형태: 산학협력 · 지원기관: 코난테크놀로지 · 수행기간: 2026

Media

RCI Lab provided technical consultation for the drama “연애박사,” featuring robots from our lab.

RCI Lab이 드라마 「연애박사」의 자문에 참여했으며, 연구실의 여러 로봇이 작품에 출연합니다. 자문 참여: 김상현 교수, 강민형·박수환·박다움·조현호. 엔딩 크레딧은 Pictures에서 확인할 수 있습니다.

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Patent

RCI Lab registered a domestic patent on autonomous chemical experiments.

김상현, 박보형, 조현호, “화학 실험 자율 수행 장치 및 방법,” 대한민국 특허 등록 · 등록번호: TBD · 출원일: 2026.02.09 · 출원인: 경희대학교 산학협력단.

Publication

Our MC-MPPI paper by Seulchan Lee has been accepted to International Journal of Control, Automation, and Systems.

Seulchan Lee, Sanghyun Kim†, “Manifold-Constrained MPPI: Real-Time Sampling-Based Control for Nonlinear Equality-Constrained Robotic Systems,” International Journal of Control, Automation, and Systems, 2026.

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Publication

Our paper by Jaerak Son has been accepted to the Journal of Institute of Control, Robotics and Systems.

손재락, 심재훈†, 김상현†, “유계 참조 보상과 조향률 제약을 통한 이중 조향 이동로봇의 정밀 도킹 성능 개선,” 제어·로봇·시스템학회 논문지, 2026.

Grant

RCI Lab completed a technology transfer to MetaMotionX.

기술명: MPPI 자율주행 알고리즘의 고도화 SW 개발 · 구분: 기술이전 · 이전기업: 메타모션엑스

Lab

RCI Lab has been selected for Anthropic's Claude for Scientists program.

Through the program, all lab members receive premium (Max) Claude access for research, coding, and writing.

Grant

RCI Lab won a grant from Mobinn.

과제명: 시뮬레이션 상 모바일 로봇 탑재 매니퓰레이터 모션 및 제어 개발 · 과제형태: 산학협력 · 지원기관: 모빈 · 수행기간: 2026