The student group aims to develop a more accurate and efficient 3D printer design using a modified delta robot with parallel manipulation. They plan to research the kinematics of parallel manipulators, design the hardware, manufacture and test a prototype, develop position control algorithms, implement firmware, interface hardware and software, and expand and document the project over a timeline spanning September 2013 to April 2014. The goal is to provide a better and cheaper additive manufacturing technique through an innovative parallel manipulation approach with benefits like greater accuracy, efficiency and lower manufacturing costs.
Spotify's Music Recommendations Lambda ArchitectureEsh Vckay
Spotify's Collaborative Filtering platform powers our Discover Page. In light of the fact, that we have been adding one new user every three seconds, it is paramount that we do things in real-time. We redesigned our recommendation system and added a Storm based real-time platform.
Spotify's Music Recommendations Lambda ArchitectureEsh Vckay
Spotify's Collaborative Filtering platform powers our Discover Page. In light of the fact, that we have been adding one new user every three seconds, it is paramount that we do things in real-time. We redesigned our recommendation system and added a Storm based real-time platform.
Kawasaki Robotics and InduSoft Web Studio: InduSoft PresentationAVEVA
Join us for this webinar where we will speak with Kawasaki Robotics to understand more about how their robots can be implemented in plant automation. We will also see a demonstration of how InduSoft Web Studio connects to Kawasaki robots through a native communication driver.
We made this blog as a way to communicate and share our ideas concerning one special kind of robots that’s being used in different industries lately… As you might have guessed, we are talking about the Delta Robot!
Slides accompanying 2.008x* video module on Robotics, Prof. John Hart, MIT, 2016.
*Fundamentals of Manufacturing Processes on edX: https://www.edx.org/course/fundamentals-manufacturing-processes-mitx-2-008x
GENUINE SAMSUNG TONER
COSTS 30 PERCENT LESS THAN
NON-GENUINE TONERS.
Did you know that using non-genuine toner could damage your printer, costing you more in the long run? Tests
performed by Buyers Laboratory Inc. (BLI), an independent research organization, determined that up to 47
percent of non-genuine toners failed during their lifetimes, whereas genuine Samsung toner had no printer
failures or errors when used under the same conditions.*
There are also hidden costs to consider when you compare non-genuine toners with genuine Samsung toner. For
example, non-genuine toners can cause a number of printing failures, including damage to the printer. According to
the BLI test results, issues can vary from major image-quality defects and memory chip failures to toner flaking and
excessive printer noise, resulting in costly repairs and part replacements. Based on gathered data, the total cost of
genuine Samsung toner is about 30 percent less than the total cost of non-genuine toners.**
3D printer Technology _ A complete presentationVijay Patil
Please give a feedback if you like my presentation.
google drive download link :
https://drive.google.com/file/d/1LSLZ-eU8QvihgzJ5BO_sav1im_e0ck0a/view?usp=sharing
As presented to the Milwaukee Alt.Net group on November 21st, 2011.
UPDATE April 19, 2012: added some domain logic organization slides using Fowler's 4 basic patterns.
Triangle Devops Meetup covering Netflix open source, cloud architecture, and what Andrew did in his first year working as a senior software engineer in the cloud platform group.
Test driven development as the state of the art of todays software developement. These slides provides a short introduction into test driven development (TDD) and gives some arguments why you should use tddTDD or why not
Going serverless with Quarkus, GraalVM native images and AWS LambdaBert Jan Schrijver
Short version: In this talk, I'll show how I migrated the backend for the NLJUG conference app (used for J-Fall, J-Spring and more events) from Spring running on Linux virtual machines to Quarkus running as GraalVM native image on AWS lambda.
Long(er) version:
A conference app backend makes the ideal candidate for a serverless architecture: almost no traffic during the year, and peak traffic during conference days.
In this talk, I'll show how I migrated the backend for the NLJUG conference app (used to rate talks for conferences with 1500+ attendees) from a traditional approach with Java and Spring running on Linux VM's to a fully serverless architecture with Quarkus, GraalVM native images, AWS lambda, API gateway and DynamoDB.
I'll talk about (and demo) the Quarkus development experience, migrating code to Quarkus, creating native images and the caveats involved, testing, deploying to AWS with the SAM CLI, monitoring, costs and more.
After this talk, you'll know enough to get started with building and deploying Quarkus native images on AWS Lambda yourself!
An introduction to the different architectures of Ember and Angular, two leading JavaScript singlepage / MVC frameworks.
This presentation was given to the Los Angeles RailsBridge "Architecture" meeting on October 25, 2013.
Apidays New York 2024 - Prototype-first - A modern API development workflow b...apidays
Prototype-first - A modern API development workflow
Tom Akehurst, CTO and Co-Founder at WireMock
Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 2024)
------
Check out our conferences at https://www.apidays.global/
Do you want to sponsor or talk at one of our conferences?
https://apidays.typeform.com/to/ILJeAaV8
Learn more on APIscene, the global media made by the community for the community:
https://www.apiscene.io
Explore the API ecosystem with the API Landscape:
https://apilandscape.apiscene.io/
Kawasaki Robotics and InduSoft Web Studio: InduSoft PresentationAVEVA
Join us for this webinar where we will speak with Kawasaki Robotics to understand more about how their robots can be implemented in plant automation. We will also see a demonstration of how InduSoft Web Studio connects to Kawasaki robots through a native communication driver.
We made this blog as a way to communicate and share our ideas concerning one special kind of robots that’s being used in different industries lately… As you might have guessed, we are talking about the Delta Robot!
Slides accompanying 2.008x* video module on Robotics, Prof. John Hart, MIT, 2016.
*Fundamentals of Manufacturing Processes on edX: https://www.edx.org/course/fundamentals-manufacturing-processes-mitx-2-008x
GENUINE SAMSUNG TONER
COSTS 30 PERCENT LESS THAN
NON-GENUINE TONERS.
Did you know that using non-genuine toner could damage your printer, costing you more in the long run? Tests
performed by Buyers Laboratory Inc. (BLI), an independent research organization, determined that up to 47
percent of non-genuine toners failed during their lifetimes, whereas genuine Samsung toner had no printer
failures or errors when used under the same conditions.*
There are also hidden costs to consider when you compare non-genuine toners with genuine Samsung toner. For
example, non-genuine toners can cause a number of printing failures, including damage to the printer. According to
the BLI test results, issues can vary from major image-quality defects and memory chip failures to toner flaking and
excessive printer noise, resulting in costly repairs and part replacements. Based on gathered data, the total cost of
genuine Samsung toner is about 30 percent less than the total cost of non-genuine toners.**
3D printer Technology _ A complete presentationVijay Patil
Please give a feedback if you like my presentation.
google drive download link :
https://drive.google.com/file/d/1LSLZ-eU8QvihgzJ5BO_sav1im_e0ck0a/view?usp=sharing
As presented to the Milwaukee Alt.Net group on November 21st, 2011.
UPDATE April 19, 2012: added some domain logic organization slides using Fowler's 4 basic patterns.
Triangle Devops Meetup covering Netflix open source, cloud architecture, and what Andrew did in his first year working as a senior software engineer in the cloud platform group.
Test driven development as the state of the art of todays software developement. These slides provides a short introduction into test driven development (TDD) and gives some arguments why you should use tddTDD or why not
Going serverless with Quarkus, GraalVM native images and AWS LambdaBert Jan Schrijver
Short version: In this talk, I'll show how I migrated the backend for the NLJUG conference app (used for J-Fall, J-Spring and more events) from Spring running on Linux virtual machines to Quarkus running as GraalVM native image on AWS lambda.
Long(er) version:
A conference app backend makes the ideal candidate for a serverless architecture: almost no traffic during the year, and peak traffic during conference days.
In this talk, I'll show how I migrated the backend for the NLJUG conference app (used to rate talks for conferences with 1500+ attendees) from a traditional approach with Java and Spring running on Linux VM's to a fully serverless architecture with Quarkus, GraalVM native images, AWS lambda, API gateway and DynamoDB.
I'll talk about (and demo) the Quarkus development experience, migrating code to Quarkus, creating native images and the caveats involved, testing, deploying to AWS with the SAM CLI, monitoring, costs and more.
After this talk, you'll know enough to get started with building and deploying Quarkus native images on AWS Lambda yourself!
An introduction to the different architectures of Ember and Angular, two leading JavaScript singlepage / MVC frameworks.
This presentation was given to the Los Angeles RailsBridge "Architecture" meeting on October 25, 2013.
Apidays New York 2024 - Prototype-first - A modern API development workflow b...apidays
Prototype-first - A modern API development workflow
Tom Akehurst, CTO and Co-Founder at WireMock
Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 2024)
------
Check out our conferences at https://www.apidays.global/
Do you want to sponsor or talk at one of our conferences?
https://apidays.typeform.com/to/ILJeAaV8
Learn more on APIscene, the global media made by the community for the community:
https://www.apiscene.io
Explore the API ecosystem with the API Landscape:
https://apilandscape.apiscene.io/
[LKUK13] I Broke the WIP Limit Twice, and I'm Still on the TeamZsolt Fabok
Starting over requires us to do at least two things: re-learn the principles and practices, and look for examples on how others recovered. I believe that understanding the pull system, the WIP limits, and the difference between manufacturing and software development will give us enough to recover faster from failures and accelerate the learning process. Moreover, I assume that I did more wrong than right during my journey in Kanban land, and it cost me a lot. I believe that if I share these stories with you, it will save you a great deal of trouble for yourself, and if not, at least you'll have some ideas on how to recover.
Microservices and Teraflops: Effortlessly Scaling Data Science with PyWren wi...Databricks
While systems like Apache Spark have moved beyond a simple map-reduce model, many data scientists and scientific users still struggle with complex cluster management and configuration tools when trying to do data processing in the cloud. Recently, cloud providers have offered infrastructure such as AWS Lambda to run event-driven, stateless functions as micro-services. In this model, a function is deployed once and is invoked repeatedly whenever new inputs arrive and elastically scales with input size. In this session, the speakers claim that microservices on serverless infrastructure present a viable platform for eliminating cluster management overhead and fulfilling the promise of elasticity in cloud computing for all users. Their key insight is that they can dynamically inject code into these stateless functions and, combined with remote storage, they can build a data processing system that inherits the elasticity of the serverless model while addressing the simplicity required by end users.
Using PyWren, their implementation on AWS Lambda, they show that this model is general enough to implement a number of distributed computing models, such as BSP, efficiently. Learn about a number of scientific and machine learning applications that they have built with PyWren, and how this model could be used to develop a serverless-Spark in the future.
This talk looks at the challenges we are facing when prototyping for mobile and gives an overview about the tools and handy helpers that you can use to deliver tappable, sharable and testable prototypes.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Assuring Contact Center Experiences for Your Customers With ThousandEyes
3 d printer
1. Modified Delta Robot based 3D
Printer using Parallel Manipulation
Group # 09
Attiya Rehman 2010079
Hira Shaukat 2010131
Talha Hisham 2010362
Ubaid-ur-Rehman 2010366
2. OBJECTIVE
“ The development of a more
accurate and efficient design
for 3D printing. We will be
researching on parallel
manipulation with the
incentive of providing a
better and cheaper technique
for additive manufacturing.”
• Greater Accuracy
• Greater Efficiency
• Lower Manufacturing Cost
• Innovative Approach
4. LITERATURE REVIEW
3D Printing:
“3D printing is a prototyping process whereby a real object is created from a 3D
design.”
Layered Printing:
Similar to an Inkjet Printer, a 3D object is made through layer by layer printing
Prototyping Technologies:
Selective laser sintering (SLS)
Fused deposition modelling (FDM)
Stereolithography (SLA)
Laminated object manufacturing (LOM)
Electron beam melting (EBM)
SLS
FDM
5. LITERATURE REVIEW
Designing Models:
– Computer Numeric Controller
– Delta Robot
Delta Robot:
• parallel robot
• three arms connected to universal
joints at the base
• key design feature – parallelograms in the
arms to maintain the orientation of end
effecter.
Delta CNC
6. LITERATURE REVIEW
Control Parameters
– Desired position of print head is achieved using position control of the
linear actuators.
– Flow of material through the print head selected according to requirements
9. Generate a
3D Model
Save an STL
Format File
Slicing the
3D into
layers
G-Code
Generation
Towards the
Arduino
Controllers
SOFTWARE
• CAD
• SLICER
10. EQUIPMENT
Frame :
• Top and bottom frame: Hand-cut plywood
• Side and Back frame: Hand-cut plywood
• Fasteners: Stainless steel
Electronics :
• Stepper motors: 4 (3 positioning, 1
extruder)
• Endstops : 3 top endstops & 3 bottom
endstops
• Electronics: Arduino Microcontrollers.
• Power Supply: Depends on printhead and
motors
• Fans: Cooling fans
11. EQUIPMENT
Linear Motion:
• Fish lines: Optional
• Timing belt: 3 belts (Closed loops or
open end)
• Timing belt pulleys: 3 plastic pulleys with
teeth. Smaller would probably work
better.
• Smooth rod: precise smooth rod -
Aluminium
• Linear bearings
• Ball bearings and Additional bearings
needed for extruder.
12. Research on kinematics of parallel
manipulators
End of September
Designing the hardware
1st week of October
Hardware manufacture
3rd week of October
Hardware Testing and optimization
3rd and 4th week of October
Algorithm development for position
control
Starting from the end of October
Firmware implementation
& simulation of algorithm
End of November
Hardware/ Software interfacing
Troubleshooting
1 month
Project Expansion
1 month
Project documentation
2 weeks
SEP
13
OCT
13
NOV
13
DEC
13
JAN
14
FEB
14
MAR
14
APR
14
TIMELINE
13. Research on kinematics of parallel
manipulators
End of September
Designing the hardware
1st week of October
Hardware manufacture
3rd week of October
Hardware Testing and optimization
3rd and 4th week of October
Algorithm development for position
control
Starting from the end of October
Firmware implementation
& simulation of algorithm
End of November
Hardware/ Software interfacing
Troubleshooting
1 month
Project Expansion
1 month
Project documentation
2 weeks
SEP
13
OCT
13
NOV
13
DEC
13
JAN
14
FEB
14
MAR
14
APR
14
TIMELINE
14. Research on kinematics of parallel
manipulators
End of September
Designing the hardware
1st week of October
Hardware manufacture
3rd week of October
Hardware Testing and optimization
3rd and 4th week of October
Algorithm development for position
control
Starting from the end of October
Firmware implementation
& simulation of algorithm
End of November
Hardware/ Software interfacing
Troubleshooting
1 month
Project Expansion
1 month
Project documentation
2 weeks
SEP
13
OCT
13
NOV
13
DEC
13
JAN
14
FEB
14
MAR
14
APR
14
TIMELINE
15. Research on kinematics of parallel
manipulators
End of September
Designing the hardware
1st week of October
Hardware manufacture
3rd week of October
Hardware Testing and optimization
3rd and 4th week of October
Algorithm development for position
control
Starting from the end of October
Firmware implementation
& simulation of algorithm
End of November
Hardware/ Software interfacing
Troubleshooting
1 month
Project Expansion
1 month
Project documentation
2 weeks
SEP
13
OCT
13
NOV
13
DEC
13
JAN
14
FEB
14
MAR
14
APR
14
TIMELINE
16. Research on kinematics of parallel
manipulators
End of September
Designing the hardware
1st week of October
Hardware manufacture
3rd week of October
Hardware Testing and optimization
3rd and 4th week of October
Algorithm development for position
control
Starting from the end of October
Firmware implementation
& simulation of algorithm
End of November
Hardware/ Software interfacing
Troubleshooting
1 month
Project Expansion
1 month
Project documentation
2 weeks
SEP
13
OCT
13
NOV
13
DEC
13
JAN
14
FEB
14
MAR
14
APR
14
TIMELINE
17. Research on kinematics of parallel
manipulators
End of September
Designing the hardware
1st week of October
Hardware manufacture
3rd week of October
Hardware Testing and optimization
3rd and 4th week of October
Algorithm development for position
control
Starting from the end of October
Firmware implementation
& simulation of algorithm
End of November
Hardware/ Software interfacing
Troubleshooting
1 month
Project Expansion
1 month
Project documentation
2 weeks
SEP
13
OCT
13
NOV
13
DEC
13
JAN
14
FEB
14
MAR
14
APR
14
TIMELINE
18. Research on kinematics of parallel
manipulators
End of September
Designing the hardware
1st week of October
Hardware manufacture
3rd week of October
Hardware Testing and optimization
3rd and 4th week of October
Algorithm development for position
control
Starting from the end of October
Firmware implementation
& simulation of algorithm
End of November
Hardware/ Software interfacing
Troubleshooting
1 month
Project Expansion
1 month
Project documentation
2 weeks
SEP
13
OCT
13
NOV
13
DEC
13
JAN
14
FEB
14
MAR
14
APR
14
TIMELINE
19. Research on kinematics of parallel
manipulators
End of September
Designing the hardware
1st week of October
Hardware manufacture
3rd week of October
Hardware Testing and optimization
3rd and 4th week of October
Algorithm development for position
control
Starting from the end of October
Firmware implementation
& simulation of algorithm
End of November
Hardware/ Software interfacing
Troubleshooting
1 month
Project Expansion
1 month
Project documentation
2 weeks
SEP
13
OCT
13
NOV
13
DEC
13
JAN
14
FEB
14
MAR
14
APR
14
TIMELINE
20. Research on kinematics of parallel
manipulators
End of September
Designing the hardware
1st week of October
Hardware manufacture
3rd week of October
Hardware Testing and optimization
3rd and 4th week of October
Algorithm development for position
control
Starting from the end of October
Firmware implementation
& simulation of algorithm
End of November
Hardware/ Software interfacing
Troubleshooting
1 month
Project Expansion
1 month
Project documentation
2 weeks
SEP
13
OCT
13
NOV
13
DEC
13
JAN
14
FEB
14
MAR
14
APR
14
TIMELINE
21. Research on kinematics of parallel
manipulators
End of September
Designing the hardware
1st week of October
Hardware manufacture
3rd week of October
Hardware Testing and optimization
3rd and 4th week of October
Algorithm development for position
control
Starting from the end of October
Firmware implementation
& simulation of algorithm
End of November
Hardware/ Software interfacing
Troubleshooting
1 month
Project Expansion
1 month
Project documentation
2 weeks
SEP
13
OCT
13
NOV
13
DEC
13
JAN
14
FEB
14
MAR
14
APR
14
TIMELINE