Vision Based Tactile Sensor

Vision-based tactile sensors integrate cameras and deformable materials to capture high-resolution images of contact, enabling robots to "feel" their environment. Current research emphasizes accurate force estimation from these images, often employing deep learning models like transformers and recurrent neural networks, along with techniques for data augmentation and cross-sensor generalization. This technology significantly improves robotic manipulation capabilities, particularly in tasks requiring delicate handling or precise force control, and is finding applications in teleoperation, object recognition, and even medical procedures.