AR-Based Off-Line Programming of the RV-M1 Robot

Gîrbacia, Florin; Mogan, Gheorghe; Păunescu, Tudor

doi:10.4028/www.scientific.net/amm.162.344

Cited by 3 publications

(2 citation statements)

References 15 publications

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“…AR has been developed since the early 90s, but has only recently been emerging as one of the forefront of technology, mainly due to the rise of popularity in smartphones and tablets5. Some of the systems that have been developed for production process are related to layout planning678910, product design1112131415, assembly1617181920, robot programming212223242526, and autonomous machining3272829. This proves that AR can be applied in many fields of research and even in consumer products due to the lower system requirement being one of the main contributing factors.…”

mentioning

confidence: 99%

Virtual Planning, Control, and Machining for a Modular-Based Automated Factory Operation in an Augmented Reality Environment

Pai

Yap

Dawal

et al. 2016

Sci Rep

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This study presents a modular-based implementation of augmented reality to provide an immersive experience in learning or teaching the planning phase, control system, and machining parameters of a fully automated work cell. The architecture of the system consists of three code modules that can operate independently or combined to create a complete system that is able to guide engineers from the layout planning phase to the prototyping of the final product. The layout planning module determines the best possible arrangement in a layout for the placement of various machines, in this case a conveyor belt for transportation, a robot arm for pick-and-place operations, and a computer numerical control milling machine to generate the final prototype. The robotic arm module simulates the pick-and-place operation offline from the conveyor belt to a computer numerical control (CNC) machine utilising collision detection and inverse kinematics. Finally, the CNC module performs virtual machining based on the Uniform Space Decomposition method and axis aligned bounding box collision detection. The conducted case study revealed that given the situation, a semi-circle shaped arrangement is desirable, whereas the pick-and-place system and the final generated G-code produced the highest deviation of 3.83 mm and 5.8 mm respectively.

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mentioning

confidence: 99%

Virtual Planning, Control, and Machining for a Modular-Based Automated Factory Operation in an Augmented Reality Environment

Pai

Yap

Dawal

et al. 2016

Sci Rep

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“…An accurate calibration leads to accurate robot simulation, and a recently developed prototype system is able to control a virtual robot in a real environment. 15 The system architecture used in Girbacia et al 15 bares resemblance to the study in this article, with the exception that it does not cover a work cell interaction. The system is also marker-based which differs from another study that uses markerless gestures.…”

Section: Recent Advancementsmentioning

confidence: 87%

Augmented reality–based programming, planning and simulation of a robotic work cell

Pai

Yap

Singh

2014

Proceedings of the Institution of Mechanical Engineers, Part B:

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In this article, the development of an augmented reality–based robotic work cell is presented, consisting of a virtual robot arm, conveyor belt, pallet and computer numerical control machine that simulates an actual manufacturing plant environment. The kinematics of the robot arm is realized using Denavit–Hartenberg’s theorem, which enables complete manipulation of the end-effector in three-dimensional space when interacting with other virtual machines. Collision detection is implemented in two areas, namely, modifiable marker–based detection for the robot arm, which detects nearby obstacles as well as integration with object manipulation to pick and place a virtual object around the environment. In addition, an augmented heads-up display overlay displays live information of the current system. The case studies suggest that the proposed system can simulate a collision-free operation while displaying the coordinates of the virtual object, current tool equipped and speed of the conveyor belt, with a percentage error of less than 5%.

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Application of Augmented Reality in Manufacturing

Jose,

Adarsh

2024

Emerging Technologies in Digital Manufacturing and Smart Factories

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AR is a distinctive interface between humans and machines that overlays virtual information generated by computers onto a practical application environment. In the past few years, it has been discovered that AR has the potential to be used in various fields, such as military training, maintenance, assembly, product design, and other production processes. AR is now playing a key role in overcoming the problems of integrating technology to speed up Industry 4.0. It enables workers to convert from mass production to mass customization. AR technology is gaining popularity because of the ease with which it can be implemented in the production and wide accessibility of hardware devices, including smartphones and tablets, that are capable of supporting it. This chapter provides a comprehensive evaluation of the latest AR applications and advancements in the manufacturing industry. Efforts are also made to understand the major challenges in AR applications and the scope for overcoming them in the future.

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AR-Based Off-Line Programming of the RV-M1 Robot

Cited by 3 publications

References 15 publications

Virtual Planning, Control, and Machining for a Modular-Based Automated Factory Operation in an Augmented Reality Environment

Virtual Planning, Control, and Machining for a Modular-Based Automated Factory Operation in an Augmented Reality Environment

Augmented reality–based programming, planning and simulation of a robotic work cell

Application of Augmented Reality in Manufacturing

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