scholarly journals Analysing Mixed Reality Simulation for Industrial Applications: A Case Study in the Development of a Robotic Screw Remover System

Author(s):  
Ian Yen-Hung Chen ◽  
Bruce MacDonald ◽  
Burkhard Wünsche ◽  
Geoffrey Biggs ◽  
Tetsuo Kotoku
2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Maggie Dahn ◽  
Christine Lee ◽  
Noel Enyedy ◽  
Joshua Danish

AbstractIn inquiry-based science lessons teachers face the challenge of adhering to curricular goals while simultaneously following students’ intuitive understandings. Improvisation (improv) provides a useful frame for understanding teaching in these inquiry-based contexts. This paper builds from prior work that uses improv as a metaphor for teaching to present a translated model for analysis of teaching in an inquiry-based, elementary school science lesson context. We call our model instructional improv, which shows how a teacher spontaneously synthesizes rules of improv with teaching practices to support student learning, engagement, and agency. We illustrate instructional improv through case study analysis of video recorded classroom interactions with one teacher and 26 first and second grade students learning about the complex system of honey bee pollination in a mixed reality environment. Our model includes the following defining features to describe how teaching happens in this context: the teacher 1) tells a story; 2) reframes mistakes as opportunities; 3) agrees; 4) yes ands; 5) makes statements (or asks questions that elicit statements); and 6) puts the needs of the classroom ensemble over individuals. Overall, we show how instructional improv helps explain how teachers can support science discourse and collective storytelling as a teacher (a) shifts power and agency to students; (b) balances learning and agency; and (c) makes purposeful instructional decisions. Findings have immediate implications for researchers analyzing interactions in inquiry-based learning environments and potential future implications for teachers to support inquiry learning.


Author(s):  
D.M. Akbar Hussain ◽  
A.A. Tabassam ◽  
M. Zafarullah Khan ◽  
Shaiq A. Haq ◽  
Zaki Ahmed

Sensors ◽  
2018 ◽  
Vol 18 (9) ◽  
pp. 2955 ◽  
Author(s):  
Mario de Oliveira ◽  
Andre Monteiro ◽  
Jozue Vieira Filho

Preliminaries convolutional neural network (CNN) applications have recently emerged in structural health monitoring (SHM) systems focusing mostly on vibration analysis. However, the SHM literature shows clearly that there is a lack of application regarding the combination of PZT-(lead zirconate titanate) based method and CNN. Likewise, applications using CNN along with the electromechanical impedance (EMI) technique applied to SHM systems are rare. To encourage this combination, an innovative SHM solution through the combination of the EMI-PZT and CNN is presented here. To accomplish this, the EMI signature is split into several parts followed by computing the Euclidean distances among them to form a RGB (red, green and blue) frame. As a result, we introduce a dataset formed from the EMI-PZT signals of 720 frames, encompassing a total of four types of structural conditions for each PZT. In a case study, the CNN-based method was experimentally evaluated using three PZTs glued onto an aluminum plate. The results reveal an effective pattern classification; yielding a 100% hit rate which outperforms other SHM approaches. Furthermore, the method needs only a small dataset for training the CNN, providing several advantages for industrial applications.


2012 ◽  
Vol 516-517 ◽  
pp. 135-139
Author(s):  
Xiang Bai Hu ◽  
Guo Min Cui ◽  
Hai Zhu Xu ◽  
Jin Yang Wang

In order to overcome the difficulty of easily falling into the local minimum solution during the optimization process of heat exchanger network which is not considered fixed investment costs, an innovative method was presented. The total areas of local minimum solution were distributed equally, and then the distributed areas were assigned to initial areas for further optimization. The better local minimum solution was sought out after jumping out of local minimum solution. Through some case study, it presents that this optimization method is able to obtain better optimization results which is more suitable to industrial applications.


Author(s):  
Golafsoun Ameri ◽  
John S. H. Baxter ◽  
Daniel Bainbridge ◽  
Terry M. Peters ◽  
Elvis C. S. Chen

Robotica ◽  
2010 ◽  
Vol 29 (2) ◽  
pp. 295-315 ◽  
Author(s):  
Debanik Roy

SUMMARYCollision-free path planning for static robots is a demanding manifold of contemporary robotics research, vastly due to the growing industrial applications. In this paper, a novel ‘visibility map’-based heuristic algorithm is used to generate near-optimal safe path for a three-dimensional congested robot workspace. The final path is obtainable in terms of joint configurations, by considering the Configuration Space of the task space. The developed algorithm has been verified initially by considering representative 2D workspaces, cluttered with different obstacles with regular geometries and then after with the spatial endeavour. A case study reveals the effectiveness of the developed modules of the configuration space mapping, pertaining to a five degrees-of-freedom low payload articulated robot.


2021 ◽  
Vol 14 (8) ◽  
Author(s):  
Ksenia Chmutina ◽  
Andrew Dainty ◽  
Robert Schmidt ◽  
Elli Nikolaidou ◽  
Eirini Mantesi ◽  
...  

AbstractReductions in end-use energy imply some level of technological and behavioural change — yet there are marked differences in the balance between them. Moreover, the ways in which these influences can combine and mutually shape each other are complex, especially where multiple users interact within the same environment. A socio-technical perspective has gradually become more popular in building energy research in recent years, as it widens the focus beyond technology to include practices, infrastructure, markets, policies, social norms, and cultural meanings; however, there is very little knowledge on how this interplay works — particularly in a non-domestic environment. In this paper, we attempt to enhance the understanding of ‘social ordering of choices, problems and practice’ (Guy & Shove, 2000, p. 139) within a retail environment — and how these are competing when it comes to decisions about energy consumption. Using a longitudinal multi-methodological case study approach, this paper aims to explicate the socio-technical context within which energy consumption is considered by various actors in a large supermarket given that these actors have other behaviours (e.g. convenience, profit) as a priority and that the retail environment is agency constrained (i.e. shoppers, employees can hardly do anything individually to affect energy consumption). Using mixed-reality platform, we visualised socio-technical interactions, thus also visualising the decisions on where energy efficiency interventions could be made, what needs to be considered, and how this differs from different perspectives. Priorities that often remain ‘unspoken’ become visible — and thus provide a powerful foundation for the discussion about the consequences of an intervention there and then thus reduce the complexity of discussions and keeping crucial information available during the entire discussion process.


Sign in / Sign up

Export Citation Format

Share Document