Research Center for Trustworthy Distributed Physical Systems

Our Mission

Building on control theory, we realize trustworthy distributed physical systems that continue their missions on their own — even when parts of them fail or come under attack — through two pillars: trustworthiness and distributedness.

In the hyper-connected era, physical systems are no longer individual machines but vast, interacting systems-of-systems. IoT devices are projected to grow to 39 billion by 2030, and decision-making is shifting from central servers to the edge, to machines, and to autonomous agents — humans can no longer be in every loop. In such an environment, a single failure or cyber attack can cascade through the entire system.

Our center tackles this problem along two axes.

Trustworthiness

Mathematical methodologies grounded in deterministic, probabilistic, and cryptographic tools build reliability into every function by design. Safety is mathematically guaranteed even under sensor faults, communication delays, and malicious attacks.

Distributedness

The blended dynamics methodology enables fully distributed control with collective decision-making and no central supervisor. Single points of failure disappear, and when parts are damaged, the rest compensate autonomously.


Research

Today’s semi-distributed control systems suffer from single points of failure and limited autonomy, while most existing distributed-control research rests on unrealistic assumptions: homogeneous agents, fixed network topologies, and benign behavior. ERC-TRIPS develops fully distributed control theory and technology that guarantees trustworthiness in real-world conditions — heterogeneous agents, open multi-agent systems where agents join and leave freely, malicious attacks, faults, imperfect sensing and communication, and safety constraints. Three research groups cover the full cycle from theory to algorithms, software, and experimental validation.

Group 1 · Distributed Control

Establishes practical distributed control design based on blended dynamics theory: consensus and distributed control that converge under communication delay, loss, and disconnection; controller architecture design and state estimation for high-reliability systems; lightweight communication and computation via event-triggered and low-dimensional transmission; and extensions of the theory to manifolds and integer arithmetic, opening the door to robotics applications and homomorphic encryption.

Group 2 · Trustworthiness Assurance

Builds protection for distributed physical systems through three mathematical approaches. Deterministic: distributed safety filters and robust control guarantee worst-case reliability. Probabilistic: risk-aware control and distributionally robust optimization (DRO) provide quantitative reliability measures. Cryptographic: homomorphic encryption and verifiable computation encrypt communication and computation, structurally blocking attacks.

Group 3 · Physical System Coordination

Implements coordination of physical systems over time-varying networks: robot formation control, distributed perception (SLAM) without a central server, and self-organization and optimal control of heterogeneous multi-robot systems. The group deploys the outputs of Groups 1 and 2 on real platforms, validates them through repeated experiments, and feeds the results back into theory.

Key Deliverables

  • Theory — advanced blended dynamics theory, stability theory for heterogeneous and open multi-agent systems, trust-guaranteeing control theory, security and privacy guarantees.
  • Algorithms — distributed control, estimation, and optimization; robust and safe control; probabilistic and learning-based control; encrypted control.
  • Open-source software — an integrated platform of design, verification, and operation tools for distributed control, released on GitHub with the goal of becoming the global open-source standard of the field, as CVX did for convex optimization.
  • ERC Arena — a large-scale testbed with a 100-unit heterogeneous robot swarm, high-precision localization, and fault/attack injection systems.
  • Benchmark data — public datasets covering normal and abnormal scenarios, network delay and loss, and environmental disturbances.

Faculty

People are the core asset of the center. Twelve leading experts in control theory from six institutions have joined forces.

Group 1 · Distributed Control

(photo)
Hyungbo Shim
심형보
Center Director · Group 1 Leader

AffiliationProfessor, Electrical & Computer Engineering, Seoul National University

ExpertiseNonlinear control · blended dynamics theory

HighlightsIEEE Fellow (2026) · Member, Korean Academy of Science and Technology (2024) · IFAC Distinguished Lecturer (2023) · General Chair, IFAC World Congress 2026 · former Associate Editor of Automatica and IEEE TAC

Homepagehyungbo.github.io

Control & Dynamic Systems Lab. CDSL
cdsl.kr
(photo)
PooGyeon Park
박부견

AffiliationProfessor, Electrical Engineering, POSTECH · Endowed Chair Professor (2021–2030)

ExpertiseExpert in time-delay dynamical systems

HighlightsKorea Engineering Award (2020) · Member, Korean Academy of Science and Technology (2021) · Springer books Time-delay Systems (2019), Networked Control Systems (2012) · President-elect, ICROS

Homepagespac.postech.ac.kr

Signal Processing and Control Lab. SPAC
spac.postech.ac.kr
(photo)
Yongsoon Eun
은용순

AffiliationProfessor, Electrical Engineering & Computer Science, DGIST

ExpertiseExpert in high-reliability cyber-physical system (CPS) design

HighlightsProvost, DGIST (2025–present) · Director, Resilient CPS Research Center (2014–2022) · 10 years at Xerox Research · Ph.D., University of Michigan · Editor, IEEE Trans. Industrial CPS

Homepagescholar.dgist.ac.kr (profile)

Resilient CPS Lab.
[lab URL to be confirmed]
(photo)
Jin Gyu Lee
이진규

AffiliationAssistant Professor, Electrical & Computer Engineering, Seoul National University

ExpertiseNeuromorphic system theory · lightweight communication and computation

HighlightsPostdoc, University of Cambridge (2019–2021) · Assistant Professor, INRIA Lille (2022–2024) · IFAC NOLCOS Young Author Award Finalist (2019)

Homepagejingyulee92.wordpress.com

Control & Dynamic Systems Lab. CDSL
jointly with Prof. Hyungbo Shim
cdsl.kr

Group 2 · Trustworthiness Assurance

(photo)
H. Jin Kim
김현진
Group 2 Leader

AffiliationProfessor, Aerospace Engineering & Interdisciplinary Program in AI, Seoul National University

ExpertiseRobot intelligence · data-driven safety-guaranteed control

HighlightsMember, National Academy of Engineering of Korea (2018) · Plenary Speaker, IEEE/RSJ IROS 2025 · IEEE ICRA Best Paper Award (2021) · h-index 63

Homepagelarr.snu.ac.kr

Laboratory for Autonomous Robotics Research LARR
larr.snu.ac.kr
(photo)
Insoon Yang
양인순

AffiliationProfessor, Electrical & Computer Engineering, Seoul National University

ExpertiseDistributionally robust control (DRO) · risk-aware control

HighlightsAssistant Professor, University of Southern California (2016–2018) · Eli Jury Award · NSF Research Initiation Award · Vice-Program Chair, IEEE CDC 2026 · Vice-Chair, IFAC Stochastic Systems TC

Homepagelds-insoon.github.io

Learning and Decision Systems Lab. LDS
lds-insoon.github.io
(photo)
Namhoon Cho
조남훈

AffiliationAssistant Professor, Aerospace Engineering, Seoul National University

ExpertiseGuidance and control · safety filter design

HighlightsLecturer, Cranfield University (2024–2025) · Cranfield 75th Anniversary Research Fellowship (2021)

Homepageaail.snu.ac.kr

Aerospace Autonomy and Intelligence Lab. AAIL
aail.snu.ac.kr
(photo)
Junsoo Kim
김준수

AffiliationAssistant Professor, Electrical & Information Engineering, Seoul National University of Science and Technology

ExpertiseInternational pioneer in encrypted control via homomorphic encryption

HighlightsPostdoc, KTH Royal Institute of Technology · invited article in Annual Reviews in Control · multiple domestic and US patents on encrypted control · organizer of encrypted-control sessions at IEEE CDC and IFAC conferences (2021–)

Homepagejunsookim4.wordpress.com

Encrypted Control Lab. [lab name to be confirmed]
[lab URL to be confirmed]
(photo)
SooJean Han
한수진

AffiliationAssistant Professor, Electrical Engineering, KAIST

ExpertiseStochastic system theory · probabilistic control of autonomous systems

HighlightsPh.D., Caltech (2023) · youngest faculty appointment at KAIST (age 24) · Springer book Linear Systems: Theory and Application (2026) · Associate Editor, IEEE Robotics and Automation Letters

Homepagesoojean.github.io

Autonomous Control for Stochastic Systems Lab. ACSS
acss.kaist.ac.kr

Group 3 · Physical System Coordination

(photo)
Hyo-Sung Ahn
안효성
Group 3 Leader

AffiliationProfessor, Mechanical & Robotics Engineering, GIST

ExpertiseInternational leader in formation control and distributed optimization

HighlightsPresidential Citation (2024) · Elsevier world top 1% researcher for five consecutive years · Automatica top-10 most-cited paper (2,784 citations) · Editor-in-Chief, Int. J. Control, Automation and Systems · four Springer books

Homepagesites.google.com/view/hyosungahn

Distributed Control and Autonomous Systems Lab. DCASL
dcas.gist.ac.kr
(photo)
Jung Hoon Kim
김정훈

AffiliationAssociate Professor, Electrical Engineering, POSTECH

ExpertiseMulti-robot control · multi-objective optimization-based robot control

HighlightsPh.D., Kyoto University (2015) · KIST Center for Robotics Research (2015–2019) · KIEE Young Researcher Award (2021) · ACA Temasek Young Educator Award (2026) · Associate Editor, IEEE TSMCS

Homepagesites.google.com/view/postechctrl

Control Systems Lab. [lab name to be confirmed]
sites.google.com/view/postechctrl
(photo)
Pyojin Kim
김표진

AffiliationAssistant Professor, Mechanical & Robotics Engineering, GIST

ExpertiseDistributed SLAM · serverless distributed perception

HighlightsPh.D., Seoul National University (2019) · Postdoc, Simon Fraser University · Outstanding Associate Editor Award, ICRA 2025 · Associate Editor, IEEE Robotics and Automation Letters

Homepagempil-gist.github.io

Machine Perception and Intelligence Lab. MPIL
mpil-gist.github.io

Participating Institutions

Seoul National University (host) · KAIST · GIST · DGIST · POSTECH · Seoul National University of Science and Technology — 6 institutions, 12 faculty members, and over 120 graduate researchers.

Funding and Research Period

ERC-TRIPS is an Engineering Research Center supported by the Ministry of Science and ICT (MSIT) of the Republic of Korea. The research period is July 1, 2026 – June 30, 2033 (seven years).

Contact

ASRI building 133, room 316 / contact@erc-trips.re.kr

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