Papers by Keyword: Tactile Sensing

Abstract: This paper proposed an online direction classifying method for constructing an intuitive tactile communication during human-robot cooperation. The proposed approach abstracts a suitable feature set from a tactile array sensor equipped on a hand-bar. This lower computation feature extraction method analyze the weighting values concerned with oriental information from principle component analysis (PCA), together with support vector machines (SVM) classifier for direction classification and recognition. Experimental results showed an average accuracy of 96.3% and a low costs of 512μs with respect to different handle gestures of the 6 touch directions, which is practicable utilized for human-robot cooperation based on tactile recognition.

Abstract: The capability of humans mechanoreceptor in distinguishing the characteristic of surrounding objects is a very tremendous skill. For this study, the objective here is to simulate on the reception of SA1 mechanoreceptor unit in differentiating variety of thickness for two type of material, which is Stainless Steel and Copper. By utilizing Catia as the main tool, the design process and FEA simulation has been performed. Evaluation point has been specified from the simulation data in order to perform a more detailed analysis. As a result, the Von Mises criteria (detected by the skin) for Stainless Steel is higher than Copper. Also, the variation in detected stress reduces when the thickness of specimen is exceeds 0.1mm. This supports the theory, on the main role of SA1 unit in determining various thickness of materials.

Abstract: This paper is related to the development of ASIC for tactile sensing system in humanoid robots. First of all, it is necessary to choose the best sensor for tactile sensing in humanoid robots. A large number of sensors like capacitive, resistive, piezoresistive, tunnel effective, optical, ultrasonic, magnetism based, piezoelectric sensors are available in market for tactile sensing. Not all the sensors are suitable for tactile sensing at all locations of humanoid robotics. We need to use different sensors for different locations in humanoid robotics like fingerprints and belly. Fingerprints of robot are most important part where we need a huge number of sensors on a limited place. As we need a large amount of data for exact modeling of properties contact surface so we require data from a large number of tactile sensors and hence we need to develop an array of tactile sensors.

Abstract: Recently ultrafine fibers of nanometer size and their fabrics are growingly interested not only in textile industry but also in non-textile industry, as they have excellent properties of lightness, high strength, comfort, function and etc as compared to those of conventional fibers. Evaluation of the mechanical properties is, then, important in connection with the reliability and durability of the products. Since commercialized machines are not always conventionally designed for mechanical property evaluation of nanofiber in any environments; air or fluids. We have, therefore, conducted to develop versatile testers including tension tester for strength measurement and friction tester for handle measurement. In this note, we present typical results for evaluation of mechanical properties of nanofiber/ web fabricated by means of an electrospining method.