VR JuggLua: A framework for VR applications combining Lua, OpenSceneGraph, and VR Juggler

Pavlik, Ryan A.; Vance, Judy M.

doi:10.1109/searis.2012.6231166

Cited by 22 publications

(15 citation statements)

References 18 publications

(15 reference statements)

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“…The application was developed using SPARTA (Scriptable Platform for Advanced Research in Teaching and Assembly) [41]. SPARTA combines VR Juggler [42] for stereoscopic rendering, OpenSceneGraph for graphics, Voxmap PointShell (VPS) [43] for physics calculations, and VR JuggLua [44] for easy scripting and content creation. It supports multiple input and output devices including position trackers, stereo glasses, stereo projection systems, gloves and haptic devices.…”

Section: Hardware/softwarementioning

confidence: 99%

Virtual Training: Learning Transfer of Assembly Tasks

Carlson

Peters

Gilbert

et al. 2015

IEEE Trans. Visual. Comput. Graphics

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In training assembly workers in a factory, there are often barriers such as cost and lost productivity due to shutdown. The use of virtual reality (VR) training has the potential to reduce these costs. This research compares virtual bimanual haptic training versus traditional physical training and the effectiveness for learning transfer. In a mixed experimental design, participants were assigned to either virtual or physical training and trained by assembling a wooden burr puzzle as many times as possible during a twenty minute time period.After training, participants were tested using the physical puzzle and were retested again after two weeks. All participants were trained using brightly colored puzzle pieces. To examine the effect of color, testing involved the assembly of colored physical parts and natural wood colored physical pieces. Spatial ability as measured using a mental rotation test, was shown to correlate with the number of assemblies they were able to complete in the training. While physical training outperformed virtual training, after two weeks the virtually trained participants actually improved their test assembly times. The results suggest that the color of the puzzle pieces helped the virtually trained participants in remembering the assembly process. Disciplines Computer-Aided Engineering and Design | Graphics and Human Computer Interfaces | Other Mechanical EngineeringComments This is a manuscript of an article from IEEE Transactions on Visualization and Computer Graphics (2014) Abstract-In training assembly workers in a factory, there are often barriers such as cost and lost productivity due to shutdown. The use of virtual reality (VR) training has the potential to reduce these costs. This research compares virtual bimanual haptic training versus traditional physical training and the effectiveness for learning transfer. In a mixed experimental design, participants were assigned to either virtual or physical training and trained by assembling a wooden burr puzzle as many times as possible during a twenty minute time period. After training, participants were tested using the physical puzzle and were retested again after two weeks. All participants were trained using brightly colored puzzle pieces. To examine the effect of color, testing involved the assembly of colored physical parts and natural wood colored physical pieces. Spatial ability as measured using a mental rotation test, was shown to correlate with the number of assemblies they were able to complete in the training. While physical training outperformed virtual training, after two weeks the virtually trained participants actually improved their test assembly times. The results suggest that the color of the puzzle pieces helped the virtually trained participants in remembering the assembly process.

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Section: Hardware/softwarementioning

confidence: 99%

Virtual Training: Learning Transfer of Assembly Tasks

Carlson

Peters

Gilbert

et al. 2015

IEEE Trans. Visual. Comput. Graphics

Self Cite

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“…The VR environment is implemented by Cþþ API of OpenSceneGraph, 19 which is an open source high performance 3-D graphics tool kit, used by application developers. It provides a scenario which is focused on the tracking movement as shown in Figure 4.…”

Section: Integration With Vr Environmentmentioning

confidence: 99%

A motion intention-based upper limb rehabilitation training system to stimulate motor nerve through virtual reality

Wang

2017

International Journal of Advanced Robotic Systems

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Motor rehabilitation strategies for treating motor deficits after stroke are based on the understanding of the neural plasticity. In recent years, various upper limb rehabilitation robots have been proposed for the stroke survivors to provide relearning of motor skills by stimulating the motor nerve. However, several aspects including costing, human-robot interaction, and effective stimulation of motor nerve still remain as major issues. In this article, a new upper limb rehabilitation training system named as motion intention-based virtual reality training system is developed to close the aforementioned issues. The system identifies the user's motion intention via force sensors mounted on the rehabilitation robot to conduct therapeutic exercises and stimulates the user's motor nerve by introducing the illusion of immersion in virtual reality environment. The illusion of immersion is developed by creating Virtual Exoskeleton Robot model which is driven by user's motion intention and reflecting the motion states in real time. The users can be present to the training exercises by themselves and fully engage in the virtual reality environment, so that they can relax, move, and recreate motor neuro-pathways. As preliminary phase, six healthy subjects were invited to participate in experiments. The experimental results showed that the motion intention-based virtual reality training system is effective for the upper limb rehabilitation exoskeleton and the evaluations of the developed system showed a significant reduction of the performance error in the training task.

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“…Graphical and audio representations are generated by a VR JUGGLER-based [31] application called VR JUGGLUA [32]. This software interface encapsulates the functionality of VR JUGGLER, OPEN SCENE GRAPH (OSG) [33], and the LUA scripting language [34].…”

Section: Supportingmentioning

confidence: 99%

Disassembly Sequence Evaluation: A User Study Leveraging Immersive Computing Technologies

Berg

Behdad

Vance

et al. 2015

Journal of Computing and Information Science in Engineering

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As interest in product recovery, reuse, and recycling rises, planning and evaluating disassembly sequences are becoming increasingly important. The manner in which a product can be taken apart strongly influences endof-life (EOL) operations and costs. Early disassembly planning can also inform non-EOL processes including repair and routine maintenance. Recently, research has concentrated on creating optimization algorithms which automatically generate disassembly sequences. These algorithms often require data that are unavailable or estimated with high uncertainty. Furthermore, industries often employ CAD modeling software to evaluate disassembly sequences during the design stage. The combination of these methods result in mathematically generated solutions, however, the solutions may not account for attributes that are difficult to quantify (human interaction). To help designers better explore and understand disassembly sequence opportunities, the research presented in this paper combines the value of mathematical modeling with the benefits of immersive computing technologies (ICT) to aid in early design decision making. For the purposes of this research, an ICT application was developed. The application displays both 3D geometry of a product and an interactive graph visualization of existing disassembly sequences. The user can naturally interact with the geometric models and explore sequences outlined in the graph visualization. The calculated optimal path can be highlighted allowing the user to quickly compare the optimal sequence against alternatives. The application has been implemented in a three wall immersive projection environment. A user study involving a hydraulic pump assembly was conducted. The results suggest that this approach may be a viable method of evaluating disassembly sequences early in design. As interest in product recovery, reuse, and recycling rises, planning and evaluating disassembly sequences are becoming increasingly important. The manner in which a product can be taken apart strongly influences end-of-life (EOL) operations and costs. Early disassembly planning can also inform non-EOL processes including repair and routine maintenance. Recently, research has concentrated on creating optimization algorithms which automatically generate disassembly sequences. These algorithms often require data that are unavailable or estimated with high uncertainty. Furthermore, industries often employ CAD modeling software to evaluate disassembly sequences during the design stage. The combination of these methods result in mathematically generated solutions, however, the solutions may not account for attributes that are difficult to quantify (human interaction). To help designers better explore and understand disassembly sequence opportunities, the research presented in this paper combines the value of mathematical modeling with the benefits of immersive computing technologies (ICT) to aid in early design decision making. For the purposes of this research, an ICT application was developed. ...

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VR JuggLua: A framework for VR applications combining Lua, OpenSceneGraph, and VR Juggler

Cited by 22 publications

References 18 publications

Virtual Training: Learning Transfer of Assembly Tasks

Virtual Training: Learning Transfer of Assembly Tasks

A motion intention-based upper limb rehabilitation training system to stimulate motor nerve through virtual reality

Disassembly Sequence Evaluation: A User Study Leveraging Immersive Computing Technologies

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