A low-cost stereoscopic &amp;#x00B5;P-based vision system for industrial light objects grasping

Kanellakis, Christoforos; Kyritsis, George; Tsilomitrou, Ourania; Manesis, Stamatis

doi:10.1109/med.2015.7158837

Cited by 1 publication

(1 citation statement)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The various approaches are proposed for the step-by-step design and development of PC-based robotic arms having several degrees of freedom [4][5][6][7]. The technique of color segmentation for object detection in real-time vision-based applications which is implemented through a stereoscopic system is briefly portrayed in [8]. While using the method of background subtraction with an aim of object recognition and localization elaborative discussion presented in [9,10].…”

Section: Introductionmentioning

confidence: 99%

Real-Time Object Detection and Localization for Vision-Based Robot Manipulator

Batra

Kumar

2021

SN COMPUT. SCI.

View full text Add to dashboard Cite

Traditionally, the robot manipulators were assigned a monotonous task. Therefore, in an aim of simplifying the interactions between unstructured surrounding and robots, as well as to carry out the more complex operations, cognitive abilities such as visual perception are appended to systems for the sake of intelligent operations. Hence, this article directed towards the multistage process involved in the design and development of vision-based robot manipulator suitable for pick and place operation in real-time entailing external disturbances. The intact system development occurs in three phases: first, the robot manipulator with 3-DOF is designed, developed and also enhanced by integrating the vision source. Second, an algorithm for object detection and localization in real time is framed in which segmented object matrices are returned by the former and the position of the stabilized object is returned by the latter. Third, entire hardware-software integration is achieved to perform the desired operation. The algorithm developed in this paper proves to be good for the developed vision-based manipulator, as we achieve quite a good accuracy in object detection algorithm whereas 98.41-99.12% accuracy is achieved in the object localization algorithm. Keywords Object detection • Object localization • Real-time robot manipulatorThis article is part of the topical collection "Applications of Cloud Computing, Data Analytics and Building Secure Networks" guestedited by Rajnish Sharma, Pao-Ann Hsiung and Sagar Juneja".

show abstract