Robot Programming Through Augmented Trajectories in Augmented Reality

Quintero, Camilo Perez; Li, Sarah; Pan, Matthew K. X. J.; Chan, Wesley P.; Loos, H. F. Machiel Van der; Croft, Elizabeth A.

doi:10.1109/iros.2018.8593700

Cited by 111 publications

(54 citation statements)

References 15 publications

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“…In this way, robots can be programmed to track the appropriate contours of the object [33]. Examples of applications implemented with the use of augmented reality programming are: Robotic welding process [34], painting [32], packing [35], and polymer manufacturing process [36].…”

Section: Robot Programming Methodsmentioning

confidence: 99%

Programming of Industrial Robots Using Virtual Reality and Digital Twins

et al. 2020

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The article presents a method of programming robots using virtual reality and digital twins. The virtual environment is a digital twin of a robotic station, built based on CAD models of existing station elements. The virtual reality system is used to record human movements in a virtual environment, which are then reproduced by a real robot. The method developed is dedicated mainly to such situations in which it is necessary for the robot to reproduce the movements of a human performing a process that is complicated from the point of view of robotization. An example of using the method for programming a robot implementing the process of cleaning ceramic casting moulds is presented.

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Section: Robot Programming Methodsmentioning

confidence: 99%

Programming of Industrial Robots Using Virtual Reality and Digital Twins

et al. 2020

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“…Liu et al [78] integrated an AR interface with Temporal And-Or Graph (T-AOG) algorithm to provide a robot programmer with information on the robot's hidden states (e.g., latent forces during interaction). In [79], an AR interface was used to program a seven degrees-of-freedom (DoF) manipulator via the method of augmented trajectories. The framework was able to perform trajectory generation, motion planning, parameter identification, and task execution in a simulation environment.…”

Section: Ar In Robot Control and Planningmentioning

confidence: 99%

Augmented Reality for Robotics: A Review

2020

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Augmented reality (AR) is used to enhance the perception of the real world by integrating virtual objects to an image sequence acquired from various camera technologies. Numerous AR applications in robotics have been developed in recent years. The aim of this paper is to provide an overview of AR research in robotics during the five year period from 2015 to 2019. We classified these works in terms of application areas into four categories: (1) Medical robotics: Robot-Assisted surgery (RAS), prosthetics, rehabilitation, and training systems; (2) Motion planning and control: trajectory generation, robot programming, simulation, and manipulation; (3) Human-robot interaction (HRI): teleoperation, collaborative interfaces, wearable robots, haptic interfaces, brain-computer interfaces (BCIs), and gaming; (4) Multi-agent systems: use of visual feedback to remotely control drones, robot swarms, and robots with shared workspace. Recent developments in AR technology are discussed followed by the challenges met in AR due to issues of camera localization, environment mapping, and registration. We explore AR applications in terms of how AR was integrated and which improvements it introduced to corresponding fields of robotics. In addition, we summarize the major limitations of the presented applications in each category. Finally, we conclude our review with future directions of AR research in robotics. The survey covers over 100 research works published over the last five years.

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“…The AR scene is visualized through a desktop monitor. As an improvement, an AR manufacturing paradigm was proposed in [53] in which a user can specify the fly of a robot trajectory through free space or in contact with a surface, visualize a preview of the robot movement, and monitor and modify robot variables during the simulation or execution mode. And a drag-and drop-like programming method for common pick and place tasks, using AR devices such as Microsoft HoloLens, was presented in [54].…”

Section: Augmented Reality-based Approachesmentioning

confidence: 99%

Advanced Robot Programming: a Review

et al. 2020

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Purpose of Review The review presents an overview of advanced robot programming approaches which aims to ease robot programming and speed up the deployment of industrial robots, and then some considerations are shared with respect to requirements in new trends of manufacturing. Recent Findings The new trend of customization along with Industry 4.0 is appearing which is a challenge for robotized systems. The bottleneck is mainly the efficiency of deployment of industrial robots because traditional programming methods are not intuitive and always time-consuming. Advanced robot programming techniques are expected to ease robot programming and make it accessible for non-experts. Summary A review on advanced robot programming is here presented, firstly introducing the background of this research, followed by reviewing literatures in four categories: programming by demonstration for low-level motion, programming by demonstration for high-level task, speech recognition-based and augmented reality-based programming approaches, and finishing on discussing future works.

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Robot Programming Through Augmented Trajectories in Augmented Reality

Cited by 111 publications

References 15 publications

Programming of Industrial Robots Using Virtual Reality and Digital Twins

Programming of Industrial Robots Using Virtual Reality and Digital Twins

Augmented Reality for Robotics: A Review

Advanced Robot Programming: a Review

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