Embedded electronic systems for tactile data processing

The development of embedded electronic systems for tactile data processing is increasingly demanded for many application domains e.g. robotics, prosthetics, industrials automation etc. In this paper we present the requirements for the embedded electronic system implementation of real time tactile data processing based on Tensorial Kernel approach. The paper provides the performance analysis of the FPGA implementation methods of the singular value decomposition as a result on the way to achieve the desired system. \ua9 Springer International Publishing AG 2017

Singular value decomposition FPGA implementation for tactile data processing

Embedded electronic systems for tactile data processing capture the attention of recent researchers because of its importance in many domains. Machine learning based on tensorial kernel approach has proven its effectiveness in processing tactile information. Computing tensorial kernel corresponds to computing the singular value decomposition. This paper presents an FPGA implementation of singular value decomposition for tensorial kernel computation. The design is implemented for an arbitrary m 7n matrix with fixed point arithmetic. The results figure out a tradeoff between the accuracy of computation and the input data resolution. The experimental results demonstrate the efficiency of our design by increasing the accuracy of computation and by providing comparable results in terms of time latency