Soft Robotic Gripper

Soft robotic grippers aim to create dexterous, adaptable grasping mechanisms inspired by biological systems, overcoming limitations of rigid robotic counterparts. Current research emphasizes improving gripper design through innovative materials and actuation methods, including electroadhesion, pneumatic systems, and tendon-driven designs, often incorporating advanced modeling techniques like physics-informed neural networks and Koopman operator theory for improved control and prediction. These advancements are driving progress in diverse applications, such as automated harvesting, delicate object manipulation, and safe human-robot interaction, highlighting the growing importance of soft robotics in various fields.