What would happen if we had all sense modalities but the "touch?" A simple experiment of manipulating objects after putting hands on an ice block for a moment can probably provide an answer to this question. In one such experiment, the skin on a volunteer's hand was anesthetized so that tactile information from mechanoreceptors-the specialized nerve endings that respond to mechanical stimulation-was no longer available to the brain (Westling and Johannson, 1984). It was observed that even though volunteers could see what they were doing, they could no longer maintain a stable grasp of the objects. This indicates that the movements become inaccurate and unstable in the absence of "sense of touch." The difficulties that humans could face in the absence of sense of touch also point toward the importance of touch sense modality in robots, especially when they are expected to work in a human environment.The touch sensing allows us to assess the size, shape, softness, and texture of objects. It helps us understand the interaction behaviors of the real world objects-which depend on their weight; stiffness; on how their surface feels when touched; how they deform on contact; and how they move when pushed. In applications such as robotics, tactile information is useful in a number of ways. In manipulative tasks, the tactile data are used as a control parameter and the tactile information typically includes contact point estimation, surface normal and curvature measurement, and slip detection (Fearing, 1990;Howe, 1994). A measure of the contact forces (both magnitude and direction) allows the grasp force control-needed to maintain stable grasps. In a real world interaction that involves, both, manipulative and exploratory tasks, the tactile information such as hardness/softness (Shikida et al., 2003), temperature, and vibrations are needed to understand diverse properties of the contacted objects.The need for suitable tactile sensing system in robotics has resulted in a large number of touch sensors and tactile sensing arrays by exploring nearly all modes of transduction, viz., resistive, capacitive, piezoelectric, magnetic, quantum tunneling, etc. (Dahiya et al., 2010b;Lee and Nicholls, 1999;Dahiya and Valle, 2013). Currently, many research groups are also working toward developing skin-like artificial systems for large area tactile sensing. However, the touch sensor technology developed so far is largely insufficient for robotics, even if there is significant success in other areas such as mobile telephony. This could be attributed to a number of factors such as availability of less than satisfactory sensory skins, insufficient methods of processing tactile data, the lack of systems approach, and the lack of mechanical flexibility and robust sensory structures. Often, tactile data are processed with techniques adapted from visual data processing, which may not be a correct approach as the touch sensing is distributed over a much broader area than vision. As a Biomimetic Technologies. http://dx.