Flexible In Situ 3D Bioprinting System with Physical AI for Adaptive Tissue Repair

Successful applicants will join the project as Master’s students / PhD students at the College of Engineering and Computer Science (CECS), VinUniversity. 

Successful applicants will join the College of Engineering and Computer Science (CECS), VinUniversity as Master’s Students / PhD Students / Research Assistants. 

Project Information 

Three-dimensional (3D) bioprinting is emerging as a promising approach for tissue repair and regeneration. However, conventional in vitro bioprinting workflows where tissues are fabricated outside the body and later implanted often face critical challenges, including structural mismatch, contamination risks, and the need for invasive surgical procedures. These limitations highlight the need for solutions that can operate directly within the human body, improving precision while minimizing risks for patients. 

This project proposes a Flexible In Situ 3D Bioprinting system (F3DB), which enables the direct deposition of biomaterials inside the body. By leveraging the body itself as a natural bioreactor, this approach allows tissue regeneration to occur in a more realistic biological environment, while reducing intermediate steps and the level of invasiveness. 

Technically, the system integrates a soft, highly flexible printing head with a robotic arm, controlled through a kinematic inversion model to ensure precise operation. A tissue deformation model is incorporated to allow the system to adapt to continuously changing biological conditions. In addition, reinforcement learning algorithms are employed to optimize printing parameters in real time. All components are developed within a Physical AI framework, enabling intelligent and adaptive interaction between robotic systems and living tissues. 

Principal Investigator: Asst. Prof. Thai Mai Thanh 

Research Objectives 

The project focuses on the following key objectives: 

(i) Develop an in situ 3D bioprinting system capable of operating directly in dynamic biological environments 

(ii) Design and integrate soft robotic structures with high degrees of freedom for flexible and precise material deposition 

(iii) Develop tissue deformation models to support real-time adaptation to anatomical changes 

(iv) Apply reinforcement learning techniques to optimize the bioprinting process and enhance system performance 

 (v) Establish a Physical AI framework for intelligent interaction between robotic systems and biological tissues 

Through these objectives, the project aims to open new directions in biomedical technology, enabling minimally invasive, precise, and patient-specific tissue repair. 

 Project Contact 

 For further information, please contact Asst. Prof. Thai Mai Thanh via email [email protected] 

Graduate Admissions Contact 

• VinUni Graduate Admissions
•  0978 549 846
• [email protected]

Learn more about Master’s, PhD programs, and scholarships at: VinUni Graduate Research Excellence Program

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