PRE2018 1 Group2

From Control Systems Technology Group
Revision as of 17:08, 9 September 2018 by S141153 (talk | contribs) (updated student numbers, updated topic and preparation sections)
Jump to navigation Jump to search

Project Robots Everywhere (Q1) - Group 2

Group 2 consists of:

  • Hans Chia (0979848)
  • Jared Mateo Eduardo (0962419)
  • Roelof Mestriner (0945956)
  • Mitchell Schijen (0906009)


Progress

Weekly Presentations

At the start of each weekly meeting we will prepare a short presentation about our progress. After the weekly meetings the newest presentation will be added to this section of the wiki.

  • week 1 (will be uploaded on 10-09-2018)


Progression on milestones

(list of completed milestones + comments about their completion + completion date)

  • 2018-09-06: The team decided on a topic. During the kick-off meeting on monday 2018-09-03 we brainstormed about several topics. During the first week we performed literature studies to inspect their originality and feasibility. We continued brainstorming and decided on a different topic, which you can read about in the remainder of this wiki page. The initial topics are listed below:
    • Extending the Smart City concept by adding functionality to satellite navigation. When a driver enters a city, they are asked whether they want to reserve and drive to a free parking spot near their destination. If the driver agrees, their satnav will query the city network, which will then book a free parking spot near the driver's destination. The satnav will automatically change its destination to the chosen parking spot. We were under the impression that such a system would make driving in a unknown city less stressful, and increase the efficiency of city traffic. During an initial literature study we found that there were numerous implementations of this topic. Although each of these implementations differed from our own vision in some way, we eventually decided to look for a different topic.
    • Creating a new Guitar Robot that builds upon the work done by PRE2017_4 Group 2. This topic appeared interesting to us as it included building an actual robot. We also had ideas for making a platform were disabled musicians can play each other’s songs, regardless of the specific modification that was done to their instrument. We were concerned about this topic as it had been done before and because there is only one person in our group who currently plays a musical instrument.


Topic

Topic in a nutshell

Our project centers around designing a RSI robot: a smart desk that automatically adjusts itself to the posture of its user to improve comfort, increase productivity and prevent medical conditions that are part of Repetitive Strain Injury (RSI). The working name of this concept is the Smart Flexplace System (SFS).


Problem statement and objectives

Flexplaces are used a lot nowadays by large companies. It occurs often that only a handful of directors have their own office, while the rest of the employees can work anywhere they want improving their productivity and work-attitude . The new Main Building at the TU/e, ATLAS, will also embark flexplaces only. The downside of these flexplaces is that the flexplace is not customarily adjusted for the person working at it, which can lead to bad working conditions. Most users do not exactly know what the best posture is and when to take a small break from work, which can lead to Repetitive Strain Injury (RSI).

To solve this problem 0LAUK0 Group 2 would like to introduce the Smart Flexplace System – TU/e ATLAS 2019 project. In this project the working condition problems of the flexplaces in ATLAS will be solved by studying multiple fields of interest and creating a Smart Flexplace System (SFS) by combining software with adjustable office-hardware. This system will be able to adjust automatically depending on the users posture and profile.


User Description

The RSI preventive AI will be attached to tables, chairs and computers. The users of this AI will therefore be people who work with computers regularly (daily). This will be the case for people working in the ICT sector, as well as for students, project managers, etc. In this study the focus will be specifically on flexible working spaces. Everyone making use of these flexible working spaces can be considered to be the users.


User Requirements

User-based Requirements The aim of this AI is to prevent RSI, so in general the AI (table, chair, etc.) needs the requirement that it is able to adjust itself in order to prevent RSI. This will be done by working with a user interface. The user can use his or her account to log on into the AI system. This account needs to contain information about the length, size and disabilities of the user in order to set itself to the perfect position to prevent RSI the most. Secondly, so now and then the AI needs to readjust itself again (this can be done by warning the user to sit differently, or by just moving into another position itself). It would also be suitable if the user can adjust the chair, table or computer by himself, so in the interface there needs to be an option to steer the system manually.

Technical-based Requirements Considering technical requirements, all re-adjustable instruments need to have a little motor in order to readjust themselves in the first place. These motors need to be able to receive orders from both the user interface and the AI system, in order to turn the right amount of degrees.


Preparation

Aproach, milestones and deliverables

The first milestone of the project is to read-in on the state-of-the-art technologies of the different subjects that contribute to the SFS. In this stage it is still very well possible that the ultimate goal of the project can be varied. The second milestone is to get in contact with someone responsible for workspaces within ATLAS to receive exact information about our case. After this, the problem and solution should be stated more clearly. The third milestone is a design-plan for the different deliverables, such as an user interface, user-profiles, electronic adjustable desks, face tracking monitors and control software. The fourth milestone is a working prototype for one or more of the deliverables. The fifth milestone is to experiment with a prototype and to find out wat it’s results are. The sixth milestone is an clear overview of the project in the form of a report and presentation. The seventh milestone is direct application of the SFS in ATLAS.

Planning

Our group's planning is available for inspection here

State-of-the-art literature study

main page: <0LAUK0 2018Q1 Group 2 - SotA Literature Study>