FeelBot Grasp: Smart 3D-Printed Robotic Grippers with Embedded Sensing Materials

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

📍 Project Information 

 As robotic systems become increasingly prevalent in manufacturing, logistics, and biomedical applications, the ability to manipulate objects with precision and tactile awareness is critical for improving performance and safety. However, conventional robotic grippers remain limited in sensing force, pressure, and deformation, particularly when interacting with delicate or irregular objects. 

This project focuses on developing next-generation intelligent robotic grippers fabricated using 3D printing and embedded sensing materials based on carbon nanotubes. This approach enables sensing capabilities to be directly integrated into the gripper structure, allowing rich tactile feedback during manipulation. 

Sensor data is leveraged through machine learning algorithms to optimize gripper geometry, material distribution, and grasping strategies. The project integrates interdisciplinary components including CAD design, materials characterization, sensor fusion, AI-driven optimization, and experimental validation. 

The research aims to enable advanced soft and hybrid robotic manipulators with enhanced dexterity, adaptability, and robustness for real-world applications. 

Principal Investigators: Prof. Simon Park | Dr. Do Tho Truong 

📍 Research Objectives 

 The project focuses on the following key objectives: 

(i) Develop intelligent robotic grippers using 3D printing with embedded sensing materials 

(ii) Investigate the sensing behavior of carbon nanotube-based materials under force, pressure, and deformation 

(iii) Build sensor data acquisition and fusion systems for tactile perception 

(iv) Apply machine learning methods to optimize gripper design and grasping strategies 

(v) Validate system performance through experiments with diverse objects and scenarios 

Through these efforts, the project aims to advance next-generation robotic manipulation systems with improved adaptability, precision, and safety. 

📍 Project Contact 

For further information, please contact Prof. Simon Park via email [email protected] 

Graduate Admissions Contact 

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

Apply now: https://apply.vinuni.edu.vn/graduate/s/login/ 

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