Soft Robotic Arm

Soft robotic arms, characterized by their flexibility and compliance, are being developed to surpass the limitations of rigid robotic counterparts in tasks requiring dexterity and interaction with delicate environments. Current research emphasizes accurate modeling and control, often employing Cosserat rod models, piecewise constant curvature approximations, and machine learning techniques like neural networks and transformers to address the inherent challenges of their infinite degrees of freedom and nonlinear behavior. These advancements are driving progress in applications ranging from assistive devices for infants to aerial manipulation and underwater robotics, highlighting the potential of soft robotics for safer and more adaptable automation.