Background
Robotic manipulation of deformable objects, such as fabric, soft materials, or food items, poses significant challenges due to their non-rigid and dynamic nature. Vision-based systems, leveraging advanced computer vision and AI techniques, provide a promising solution for perceiving, modelling, and controlling the deformation of such objects during manipulation tasks.
Objective
The goal of this thesis is to develop a vision-based system for robotic manipulation of deformable objects. This includes real-time object detection, deformation tracking, and the integration of a control strategy that enables a robotic arm to interact effectively with deformable materials.