Tactile Perception

Tactile perception research aims to understand and replicate the human sense of touch in robotic systems, focusing on how robots can acquire and interpret information from physical contact. Current research emphasizes developing advanced tactile sensors, often vision-based, and employing machine learning models like transformers and convolutional neural networks to process the complex data they generate for tasks such as object recognition, manipulation, and material classification. This field is crucial for advancing robotics, particularly in areas requiring dexterous manipulation and human-robot interaction, as well as for applications in medical diagnostics and manufacturing quality control.