Adaptive Finger

Adaptive fingers for robotic manipulation are being developed to improve dexterity, robustness, and adaptability in grasping diverse objects, addressing challenges like object misalignment and fragility. Research focuses on integrating vision-based tactile sensing with compliant, underactuated finger designs, often employing linkage mechanisms or soft robotics approaches, and utilizing machine learning for improved control and object recognition. These advancements are significant for applications ranging from delicate food handling to industrial automation, enhancing the capabilities of robotic systems in complex and unstructured environments. The development of robust and adaptable grasping mechanisms is crucial for expanding the capabilities of robots in various fields.