Watch experiment ↗01Locomotion and loco-manipulation
Humanoid Control
- Locomotion
- Whole-body motion
- Physical AI
OPEN POSITIONSRCI Lab is recruiting motivated undergraduate researchers and graduate students.
Recruitment details →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
- 2
- 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.
Watch experiment ↗01
Watch experiment ↗02Dynamic coordination for complex robots
Whole-body Control
- Whole-body control
- Hierarchical QP
- Mobile manipulation
Watch experiment ↗03Real-time decisions under constraints
Optimal Control
- MPPI
- DDP
- Trajectory optimization
Watch experiment ↗04Planning on complex constraint manifolds
Constrained Motion Planning
- Motion planning
- Closed-chain
- RRT
Watch experiment ↗05Language-guided robot behavior
Visual Language Action
- VLA
- Robot learning
- Manipulation
06Semantic maps for embodied navigation
Visual Language Navigation
- VLN
- Semantic mapping
- Embodied AI
SELECTED WORK
Recent publications
Research across robot control, motion planning, navigation, and learning-enabled robotic systems.
Browse publications →High-Performance Fixed-Time Active Fault-Tolerant Control of Robotic Manipulators via Sparse Physics-Informed Dynamics Learning
Instance-Enriched Semantic Maps for Visual Language Navigation
Seek, Don’t Avoid: Radiation-Guided Exploration for Early Contamination Discovery
LAB UPDATES
Latest news
Sanghyun Kim has been appointed to the organizing committee for IEEE ICRA 2027.
Sanghyun Kim will serve as an Associate Editor for IEEE-RAS Humanoids 2026.
RCI Lab won a grant from Mobinn.
과제명: 이동형 양팔 로봇의 제어시스템 개발 · 과제형태: 산학협력 · 지원기관: 모빈 · 수행기간: 2026
Our paper by Thanh Nguyen Truong has been accepted to Information Sciences.
Thanh Nguyen Truong, Sanghyun Kim†, “High-Performance Fixed-Time Active Fault-Tolerant Control of Robotic Manipulators via Sparse Physics-Informed Dynamics Learning,” Information Sciences, 2026.
RCI Lab won a grant from PIE Robotics.
과제명: 자율 공정을 위한 모션 플래닝 기술 개발 · 과제형태: 산학협력 · 지원기관: PIE Robotics · 수행기간: 2026
RCI Lab won a grant from KailosLab.
과제명: 화학 실험 자동화를 위한 VLM 기반 제어 기술 개발 · 과제형태: 산학협력 · 지원기관: 카이로스랩 · 수행기간: 2026
RCI Lab won a grant from ENOZ.
과제명: 휴머노이드 교육 자문 용역 · 과제형태: 산학협력 · 지원기관: 이앤오즈 · 수행기간: 2026
RCI Lab won a grant from Roboe Technologies.
과제명: 화물하역작업을 위한 모션플래닝 알고리즘의 개발 · 과제형태: 산학협력 · 지원기관: 로보에 테크놀로지 · 수행기간: 2026
Our paper by Jiho Hong and Eunae Kang has been accepted to Engineering Applications of Artificial Intelligence.
Jiho Hong*, Eunae Kang*, Sanghyun Kim†, Young-Sik Shin†, “Instance-Enriched Semantic Maps for Visual Language Navigation,” Engineering Applications of Artificial Intelligence, 2026.
Our paper by Daum Park and Bohyeong Pak received the Best Paper Award from the Dynamics, Control and Robotics Division of the Korean Society of Mechanical Engineers.
박다움, 박보형, 김상현†, “시간 계층 구조의 DAG 최적화 기법을 이용한 전방향 공중 작업 로봇의 렌치 가용 전신 경로 계획,” 대한기계학회 2026년 춘계학술대회, 2026.