| Proj No. | A1004-251 |
| Title | Robotic manipulation of 2-D Deformable object based on Deep Neural Networks |
| Summary | Manipulating 2-D deformable objects pose significant challenges due to their flexibility, high degree of freedom, and the complex interactions within the structure of soft object. The goal of this project is to design and implement a system for 2-D deformable object manipulation, leveraging deep neural networks to infer the complex dynamics of the soft-object behavior. The deep neural networks will learn the models governing the deformation. This project comprises several stages, including data collect and preprocessing, model development using deep neural networks, as well as the real-world implementation using a robot manipulator. |
| Supervisor | A/P Cheah Chien Chern (Loc:S1 > S1 B1B > S1 B1B 53, Ext: +65 67905385) |
| Co-Supervisor | - |
| RI Co-Supervisor | - |
| Lab | Robotics I (Loc: S2-B6a-01, ext: 4053) |
| Single/Group: | Single |
| Area: | Intelligent Systems and Control Engineering |
| ISP/RI/SMP/SCP?: |