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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

IEEE Transactions on Automation Science and Engineering · 2026JCR Top 10.8%

Unified Prescribed-Path Planning and Feasibility Checking Across Redundant Manipulators

Daum Park, Sanghyun Kim†

02

IEEE Robotics and Automation Letters · 2026

GRACE: Gradient-Free Robot Action Generation via Combined Diffusion-MPPI Posterior Mean Estimation

Leesai Park*, Jiho Hong*, Sanghyun Kim†

03

IEEE Transactions on Robotics · 2026JCR Top 9.4%

RMRRT: Riemannian Barrier Metric RRT for Inequality-Aware Steering on Equality Manifolds

Minhyeong Kang, Sanghyun Kim†

LAB UPDATES

Latest news

All news →
Publication

Our GRAFT paper by Daum Park has been accepted to IEEE Transactions on Automation Science and Engineering.

Daum Park, Sanghyun Kim†, “Unified Prescribed-Path Planning and Feasibility Checking Across Redundant Manipulators,” IEEE Transactions on Automation Science and Engineering, 2026.

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Publication

Our GRACE paper by Leesai Park and Jiho Hong has been accepted to IEEE Robotics and Automation Letters.

Leesai Park*, Jiho Hong*, Sanghyun Kim†, “GRACE: Gradient-Free Robot Action Generation via Combined Diffusion-MPPI Posterior Mean Estimation,” IEEE Robotics and Automation Letters, 2026.

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Grant

RCI Lab won a grant from Kyung Hee University's BRIDGE program.

과제명: 접촉 작업 자율화를 위한 힘 센싱 휴머노이드 상체 및 접촉 인지 모방학습 기술 · 과제형태: G-대학 창의적 자산 실용화 지원(BRIDGE) 사업 – Advanced Grant(기술이전형) · 지원기관: 경희대학교 · 수행기간: 2026–2027

Publication

Our RMRRT paper by Minhyeong Kang has been accepted to IEEE Transactions on Robotics.

Minhyeong Kang, Sanghyun Kim†, “RMRRT: Riemannian Barrier Metric RRT for Inequality-Aware Steering on Equality Manifolds,” IEEE Transactions on Robotics, 2026.

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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: 10-3033149 · 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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