Our long-term goal is a general-purpose robot that can work alongside people in any environment. We are not there yet, and we believe the way to get there is to build robots that truly work in specific, real-world settings first. So we advance robotics in two directions: (1) enabling technology, the methods that will eventually lead to general robots, and (2) application, specific use cases where robots can make a difference today. Our current applications are surgical operation, lab automation, and hotel operation.


Category 1. Enabling Technology

The first direction is enabling technology: how we can build and control robots more systematically and efficiently. Here, we focus on methods rather than specific robots, and build frameworks that design robots with minimal human effort, using computational approaches including AI, optimization, and simulation.

1.1. Computational Robot Co-Design

Computational design

Computational Robot Co-Design

We develop AI-driven frameworks for robot body & controller co-design, integrating generative models, physics simulation, and optimization. This approach enables scalable, task-specific robots such as agile legged systems or modular manipulators.

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1.2. Brain-Inspired Physical AI

Brain-inspired Physical AI

Brain-Inspired Physical AI

We take inspiration from how the human brain perceives, plans, and controls the body to build Physical AI that learns efficiently, adapts quickly, and acts reliably in the physical world.

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1.3. Under-actuated Tendon Transmission

Under-actuated tendon transmission

Under-actuated Tendon Transmission

We develop tendon routing and transmission methods that let a few actuators drive many joints, moving complexity from motors and controllers into the mechanical design.

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Category 2. Application

The second direction is application: how we can apply robotics to real-world problems, especially in human-centered domains. Here, we focus on specific robots rather than methods, and build robots that assist people in daily life and at work, such as robotic hands and Physical AI for surgery, lab automation, and hotels.

2.1. Robotic Hands

Robotic hands

Wearable Robots, Prosthetics & Robot Hands

We design tendon-driven, under-actuated hands, from hand-wearable robots and prosthetic hands that assist people, to robot hands for humanoids and robot arms.

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2.2. Domain-Specific Physical AI

Domain-specific Physical AI

Physical AI for Surgery, Labs, and Hotels

We deploy Vision-Language-Action (VLA) based Physical AI in specific real-world domains rather than on general tasks: surgical assistance, lab automation, and hotel room housekeeping.

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Ongoing Projects

Project Period
MAESTRO: Multimodal Action Data Factory for Embodied Surgical and Therapeutic Robotic Operation
(체화지능형 의료로봇 구현을 위한 멀티모달 Action Data Factory 원천기술 개발)
2026.07 – 2030.06
AI-based Design Optimization of Task-Specific Robot Hands for Humanoids and Robot Arms
(휴머노이드 및 로봇팔을 위한 작업특화 로봇손의 AI 기반 로봇 설계 최적화)
2026.03 – 2028.03
TWIN-STAY: Adaptive Digital Twin and Robot–Space Co-design for Autonomous Hotel Operation
(호텔 객실 자동화를 위한 적응형 디지털 트윈 및 로봇-공간 공동설계 원천기술 개발)
2027.01 – 2027.12