Analysis of Tactile Slippage Control Algorithm for Robotic Hand Performing Grasp-Move-Twist Motions

Yussof, Hanafiah; Wada, Jiro; Ohka, Masahiro

doi:10.21307/ijssis-2017-397

Cited by 13 publications

(11 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the measurement matrix satisfy RIP limit conditions, CoSaMP algorithm is given to Fourier-Ring measurement matrix is based on image sparse signal Fourier transform, then use the normalization process to get an N×N orthogonal matrix F, overlay the N×N Ring matrix R after the normalization, selected in M row randomly in the overlay measurement matrix, then unit on each row to generate measurement matrix F R . By using the method of FFT [15] fast calculation and overlay measurement matrix makes information gathering more complete and accurate, achieve improved image signal reconstruction effects and ensuring the calculation speed at the same time. The Fourier-Ring overlay matrix measurement as follows:…”

Section: IIImentioning

confidence: 99%

Improved Measure Algorithm Based On Cosamp For Image Recovery

Dai

2017

International Journal on Smart Sensing and Intelligent Systems

View full text Add to dashboard Cite

In order to improve the quality of the reconstruction image which using Compressive sensing(CS) algorithm. Based on improved measurement matrix combined with CS Matching Pursuit(CoSaMP)algorithm, this paper presents a kind of Fourier Ring Compressive Sampling Matching Pursuit (FR-CoSaMP) algorithm. The algorithm superimposed deterministic ring measurement matrix to optimize measurement process on the basis of Fourier measurement matrix. And solve the iterative inverse operation by using FFT fast Fourier calculation method, which can make the measurement information more complete, and speed up the signal reconstruction. Then introduces the mathematical framework and algorithmic processes of the FR-CoSaMP algorithm in details. Finally, compare these types of traditional algorithms and the improved algorithm by analysis and simulation. The results show that, under the same image sparsity and measurement scale, the improved FR-CoSaMP algorithm has better performance in terms of the image reconstruction.

show abstract

Section: IIImentioning

confidence: 99%

Improved Measure Algorithm Based On Cosamp For Image Recovery

Dai

2017

International Journal on Smart Sensing and Intelligent Systems

View full text Add to dashboard Cite

show abstract

“…where s is the sample length of the curvature in pixels, and with the approximation that (4) ∆t z = (∆x 2 z + ∆y 2 z ) 1/2 then, the curvature of a digital binary image with boundary pixels z = 1, 2, 3, . .…”

Section: Feature Extraction 231 Shape Recognitionmentioning

confidence: 99%

“…To develop the applications of hold-and-place robots, it is important to automate its manipulation process [1,2,3,4,5,6,7]. Also, vision is considered to be the most valuable sense of automating a robotic system.…”

Section: Introduction and Related Workmentioning

confidence: 99%

Building and Programming a Smart Robotic System for Distinguishing Objects Based on their Shape and Colour

Sharari¹

2015

Journal of Theoretical and Applied Mechanics

View full text Add to dashboard Cite

This paper presents a robotic system designed for holding and placing objects based on their colour and shape. The presented robot is given a complete set of instructions of positions and orientation angles for each manipulation motion. The main feature in this paper is that the developed robot used a combination of vision and motion systems for holding and placing the work-objects, mounted on the flat work-plane, based on their shapes and colorus . This combination improves the flexibility of manipulation which may help eliminate the use of some expensive manipulation tasks in a variety of industrial applications. The robotic system presented in this paper is designed as an educational robot that possesses the ability for holding-and-placing operations with limited load. To process the various instructions for holding and placing the work objects, a main control unit -Manipulation Control Unit (MCU) is used as well as a slave unit that performed the actual instructions from the MCU.

show abstract

“…Recently, it has been shown that SR can enhance the detection and transmission of weak signals in certain nonlinear and multi-stable systems by using noise [5][6]. If we can incorporate SR into not only the robotic tactile sensors [7][8] but also haptic displays [9]- [11], they can take advantage of it because tactile sensing accepts the external noise inevitably arising from touching an object surface. Thus, we investigate SR of human tactile sensing in this paper.…”

Section: Introductionmentioning

confidence: 99%

Investigation of Human Tactile Stochastic Resonance Depending on Frequency Effect

Beceren

Ohka

Miyaoka

et al. 2013

International Journal on Smart Sensing and Intelligent Systems

Self Cite

View full text Add to dashboard Cite

show abstract

Analysis of Tactile Slippage Control Algorithm for Robotic Hand Performing Grasp-Move-Twist Motions

Abstract: Abstract-This paper presents an analysis result of grasp-move-and-twist motions of robotic

Cited by 13 publications

References 15 publications

Improved Measure Algorithm Based On Cosamp For Image Recovery

Improved Measure Algorithm Based On Cosamp For Image Recovery

Building and Programming a Smart Robotic System for Distinguishing Objects Based on their Shape and Colour

Investigation of Human Tactile Stochastic Resonance Depending on Frequency Effect

Contact Info

Product

Resources

About