The field of robotics is witnessing significant advancements in tactile sensing, enabling robots to better interact with and understand their environment. Recent developments have focused on creating more sophisticated and accurate tactile sensors, which can be used in a variety of applications, including object manipulation, surface exploration, and human-robot interaction. Notably, researchers have been exploring the use of multimodal sensing, machine learning, and bioinspired designs to improve the capabilities of tactile sensors. These innovations have the potential to enhance the autonomy and versatility of robots, allowing them to operate effectively in complex and dynamic environments. Some noteworthy papers in this area include: The Skin-Machine Interface with Multimodal Contact Motion Classifier, which proposes a novel framework for utilizing skin sensors as a new operation interface for complex robots. The High-Speed Event Vision-Based Tactile Roller Sensor for Large Surface Measurements, which introduces a novel tactile sensor integrating a neuromorphic camera in a rolling mechanism to achieve rapid and continuous high-resolution measurements. The Fluidically Innervated Lattices Make Versatile and Durable Tactile Sensors, which presents a passive soft robotic fingertip with integrated tactile sensing, offering a simple yet robust solution to tactile sensing in robotics.