Deep learning-based object identification for grasping force control of a robotic soft end effector

Key Points

• Enhanced grasping force control is achieved through deep learning-based object identification methods.
• The system automatically adjusts grasping force based on object type, optimizing handling efficiency and safety.
• Analysis utilized a deep learning framework to identify objects and regulate force during robotic grasps.
• These findings indicate potential applications in service robotics and automation across various fields.