Shape Control

Shape control research focuses on precisely manipulating the form of deformable objects, primarily using robots, with the goal of achieving desired shapes efficiently and robustly. Current efforts concentrate on developing advanced control algorithms, often incorporating physics-based models like the Cosserat model or data-driven approaches such as neural networks and reinforcement learning, alongside visual feedback for real-time correction. This field is significant for its potential impact on diverse applications, including robotics, soft robotics, and computer-aided design, by enabling more dexterous and adaptable manipulation of non-rigid materials.