MIT Sloan researchers have developed a scalable tactile glove (STAG) with approximately 550 sensors that allows AI systems to receive tactile feedback. STAG achieved up to 76% accuracy in identifying common objects like a mug or tennis ball without visual information and could correctly guess their weight within 60 grams. The researchers believe integrating STAG with computer vision could enable robots to replicate human interactions like doing chores or washing dishes, and it may also help with customizing prosthetics.