We are making advances in robotics through two directional approaches: (1) enabling technology and (2) application.
Category 1. Enabling Technology
One direction is enabling technology side. This includes how can we build and control robots more systematically and efficiently. This means that, we are focusing on methods rather than specific robots. From this perspective, we will build a framework that builds with minimized human effort, using computational approaches including AI, optimization, and simulation.
1.1. Computational Robot Co-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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Another direction is application side. This includes how can we apply robotics to real-world problems, especially in human-centered domains. This means that, we are focusing on specific robots rather than methods. From this perspective, we will build robots that can assists human beings in our daily life, such as kitchen assistance robot, wearable robots and prosthetics.
2.1. Assistive Robots
Wearable Robots & Prosthetics
We design and study **tendon-driven wearable robots and prosthetic devices** to support individuals with motor impairments. Our research spans from lightweight hand exoskeletons to prosthetic hands, focusing on intuitive control, comfort, and daily usability.
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