Soft Object

Soft object manipulation is a burgeoning field focusing on understanding and controlling the behavior of deformable materials, crucial for applications like robotics and surgery. Current research emphasizes developing accurate models of soft object dynamics, often employing deep reinforcement learning (e.g., DDPG, Actor-Critic methods) and physics-informed machine learning to bridge the gap between simulation and real-world scenarios. These advancements are improving robotic control of soft objects, enabling tasks such as precise shaping and manipulation, and leading to more robust and adaptable robotic systems for various industries.