Vision-Based Inceptive Integration for Robotic Control

Khan, Asif; Li, Jianping; Malik, Asad; Khan, Mohd Yusuf

doi:10.1007/978-981-13-3393-4_11

Cited by 8 publications

(7 citation statements)

References 6 publications

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“…Following, motion, and control are essential for a settled verbalized robot like crane with a portable device like mobile sensor to arrange the objects accordingly with arms and onboard camera, with visible device that is able to position controllable world stage. So these genuine exploratory methodologies consolidate with an algorithmic coding of MATLAB [32] and that signal activity executed as control and process (Figure 8). e action-3D database is a type of motion-action behavior dataset.…”

Section: Experimental Setup and Resultsmentioning

confidence: 99%

“…During this process, the visual feedback is constantly followed to see the template matching for each frame of object's information and forecasting the position extraction dynamically. When the sum squared error between two objects is less than the captured image and BM results in predetermined threshold, then we can say that the object has found the one we were looking for [32].…”

Section: Partial Observer Decision Processmentioning

confidence: 99%

“…Based on the results of the base work experiment (Figures 14 and 15) [32], and according to the proposed model outcomes as (in Figure 11, Table 4, and Figure 13) set the layer 2, the previous input step is 5, the hidden unit numbers are 200 for layer 1 and 100 for layer 2, and the learning rate is 0.01. We trained the model for 500 epochs.…”

Section: Comparisonmentioning

confidence: 99%

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Partial Observer Decision Process Model for Crane-Robot Action

Khan

Haq

et al. 2020

Scientific Programming

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e most common use of robots is to effectively decrease the human's effort with desirable output. In the human-robot interaction, it is essential for both parties to predict subsequent actions based on their present actions so as to well complete the cooperative work. A lot of effort has been devoted in order to attain cooperative work between human and robot precisely. In case of decision making , it is observed from the previous studies that short-term or midterm forecasting have long time horizon to adjust and react. To address this problem, we suggested a new vision-based interaction model. e suggested model reduces the error amplification problem by applying the prior inputs through their features, which are repossessed by a deep belief network (DBN) though Boltzmann machine (BM) mechanism. Additionally, we present a mechanism to decide the possible outcome (accept or reject). e said mechanism evaluates the model on several datasets. Hence, the systems would be able to capture the related information using the motion of the objects. And it updates this information for verification, tracking, acquisition, and extractions of images in order to adapt the situation. Furthermore, we have suggested an intelligent purifier filter (IPF) and learning algorithm based on vision theories in order to make the proposed approach stronger. Experiments show the higher performance of the proposed model compared to the state-of-the-art methods.

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Section: Experimental Setup and Resultsmentioning

confidence: 99%

Section: Partial Observer Decision Processmentioning

confidence: 99%

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Partial Observer Decision Process Model for Crane-Robot Action

Khan

Haq

et al. 2020

Scientific Programming

Self Cite

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“…In recent years, research is intensifying in Machine Learning driven applications such as robot vision [14], [15],autonomous vehicles [16], sibilance security [17],. The medical data analysis using machine learning techniques are more suitable for diagnosis of critical disease [18].…”

Section: Related Workmentioning

confidence: 99%

Predicting Emerging Trends on Social Media by Modeling it as Temporal Bipartite Networks

Khan

Ahmad³

et al. 2020

IEEE Access

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The behavior of peoples' request for a post on online social media is a stochastic process that makes post's ranking highly skewed in nature. We mean peoples interest for a post can grow/decay exponentially or linearly. Considering this nature of the evolutionary peoples' interest, this paper presents a Growth-based Popularity Predictor (GPP) model for predicting and ranking the web-contents. Three different kinds of web-based real datasets namely Movielens, Facebook-wall-post and Digg are used to evaluate the performance of the proposed model. This performance is measured based on four information-retrieval metrics Area Under receiving operating Characteristic (AUC), Novelty, Precision, and Kendal's Tau. The obtained results show that the prediction performance can be further improved if the score is mapped onto a cumulative predicted item's ranking.INDEX TERMS Retrieval-ranking, trend prediction, recommender system, social media, information retrieval.

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“…To control a robot hand, many studies have been carried out, such as [5][6][7]. We will focus on those who used the Allegro Hand [8], which is a four-fingered robotic hand.…”

Section: Introductionmentioning

confidence: 99%

Virtualization of Robotic Hands Using Mobile Devices †

et al. 2019

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This article presents a multiplatform application for the tele-operation of a robot hand using virtualization in Unity 3D. This approach grants usability to users that need to control a robotic hand, allowing supervision in a collaborative way. This paper focuses on a user application designed for the 3D virtualization of a robotic hand and the tele-operation architecture. The designed system allows for the simulation of any robotic hand. It has been tested with the virtualization of the four-fingered Allegro Hand of SimLab with 16 degrees of freedom, and the Shadow hand with 24 degrees of freedom. The system allows for the control of the position of each finger by means of joint and Cartesian co-ordinates. All user control interfaces are designed using Unity 3D, such that a multiplatform philosophy is achieved. The server side allows the user application to connect to a ROS (Robot Operating System) server through a TCP/IP socket, to control a real hand or to share a simulation of it among several users. If a real robot hand is used, real-time control and feedback of all the joints of the hand is communicated to the set of users. Finally, the system has been tested with a set of users with satisfactory results.

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Vision-Based Inceptive Integration for Robotic Control

Cited by 8 publications

References 6 publications

Partial Observer Decision Process Model for Crane-Robot Action

Partial Observer Decision Process Model for Crane-Robot Action

Predicting Emerging Trends on Social Media by Modeling it as Temporal Bipartite Networks

Virtualization of Robotic Hands Using Mobile Devices †

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