• Skip to primary navigation
  • Skip to main content
  • Skip to primary sidebar
  • Skip to secondary sidebar
  • Skip to footer
  • Home
  • Subscribe
  • Your Membership
    • Edit Your Profile
  • Services
    • Advertising
    • Case studies
    • Design
    • Email marketing
    • Lead generation
    • Magazine
    • Press releases
    • Publishing
    • Sponsored posts
    • Webcasting
    • Webinars
    • White papers
    • Writing
  • Shop
    • My Account
    • Cart
  • About
    • Contact
    • Privacy
    • Terms of use
  • Events

Robotics & Automation News

Market trends and business perspectives

  • News
  • Features
  • Video
  • Webinars
  • White papers
  • Press releases
  • Featured companies
    • AMD Xilinx
    • BlueBotics
    • Elite Robot
    • RGo Robotics
    • SICK Sensor Intelligence
    • Vicor Power

University students compete in SICK’s second annual TiM$10k Challenge

May 26, 2020 by David Edwards Leave a Comment

For the second consecutive year, sensor manufacturer SICK invited students from universities around the country to participate in the company’s TiM$10K Challenge.

The challenge started in 2018 to support innovation and student achievement in automation and technology.

Teams were supplied with a 270° SICK LiDAR sensor (TiM) and accessories and challenged to solve a problem, create a solution, or bring a new application to any industry that utilizes the SICK LiDAR.

The winners of the TiM$10K Challenge are:

  • 1st Place: Worcester Polytechnic Institute Team 1 – Automating road conditions data collection (ROADGNAR)
  • 2nd Place: University of Illinois at Urbana-Champaign – Preventing theft on construction sites (L-PUPP)
  • 3rd Place: Rochester Institute of Technology – Extending single beam LiDAR to full resolution
  • Honorable Mention: Michigan Technological University – Evaluating Road Markings (The Road Stripe Evaluator)

Daniel Pelaez, representative of Team 1 from Worcester Polytechnic Institute, the first place winner of the TiM$10K Challenge, says: “It was a wonderful learning experience getting to use such an awesome, high-quality sensor to actually solve a problem with a project that we had been working on for over a year before the challenge. It was an awesome experience.”

Project summaries

The first place team, Team 1 from Worcester Polytechnic Institute, created an innovative product called the ROADGNAR.

The ROADGNAR detects, analyzes, and measures potholes, cracks, and other things that cause roadways to be in poor condition. With this data, local governments can better prioritize what roads need to be repaired first based on the condition.

Watch video

The second place team, University of Illinois at Urbana-Champaign, developed the L-PUPP, a device intended to detect when a theft is occurring at a construction site.

The L-PUPP, or LiDAR Portable Ultimate Protection Product, can be installed all around a construction site to detect any unauthorized breaches onto the site.

Watch video

The third place team from Rochester Institute of Technology created a solution that uses a 2D LiDAR sensor and a camera to extend single beam LiDAR to full resolution.

With this solution, companies using automated mobile robots can use a less cost prohibitive solution that also provides a comparatively higher resolution at a much faster rate, with the ability to determine per-pixel depth.

Watch video

Finally, the team from Michigan Technological University received an honorable mention for their innovative product that aims to help resolve issues caused by poor road markings while also reducing maintenance costs and improving motorist safety.

Watch video

Tony Peet, CEO of SICK, said: “There’s an opportunity for a business to get started from any of these projects. These are high-quality products with great market value that all provide improvements to the industry.

“We’re extremely proud of all the students who participated.”

Contest background

Each team was asked to submit a video and paper for judging upon completion of the project. A panel of judges decided the winning submissions based on creativity and innovation, ability to solve a customer problem, commercial potential to productize and market the application, entrepreneurship of the team, and reporting.

The three winning teams win a cash award of $10K for first place, $5K for second place, and $3K for third place.

In addition to bragging rights and the cash prize, the first place team, along with the advising professor, will go on an all-expense paid trip to Germany to visit the SICK headquarters and manufacturing facility.

This contest was supported by PMMI Foundation’s U Skills Fund. PMMI Foundation works to grow awareness of careers in packaging and processing, providing assistance to schools and programs that develop students to excel in the industry.

LiDAR sensor technology

The LiDAR sensor (TiM) provided to teams utilizes a rotating pulsed laser to calculate distances to its surroundings based on the time-of-flight principle.

The rotating laser effectively forms a circle around the TiM, inside which users can create individual fields to monitor for the presence or absence of an object.

The reliability of the sensor is improved by SICK’s patented High-Definition Distance Measurement (HDDM) technology, which samples each measurement several times and averages the results.

As the TiM$10K teams ably proved, monitoring the individual fields for objects can be a great way to solve applications that other sensing technologies cannot.

This makes the TiM invaluable in a variety of industrial applications, as well as building automation, stationary, and mobile applications.

In addition, the integrated Ethernet interface allows for remote monitoring, measurement, and navigation which presented a ton of creative possibilities for the TiM$10K teams.

Register for the 2020-2021 TiM$10K Challenge

SICK is now accepting entries for the TiM$10K Challenge for the 2020-2021 school year. Student teams can register online by September 2, 2020.

Student teams are encouraged to use their creativity and technical knowledge to incorporate the SICK LiDAR for any industry in any application. Advisors/professors are allowed to guide the student teams as required.

For more details, visit: https://www.sick.com/us/en/tim10k/w/tim10k/

Print Friendly, PDF & Email

Share this:

  • Print
  • Facebook
  • LinkedIn
  • Reddit
  • Twitter
  • Tumblr
  • Pinterest
  • Skype
  • WhatsApp
  • Telegram
  • Pocket

You might also like…

Filed Under: Design, News, SICK Sensor Intelligence Tagged With: challenge, industry, institute, lidar, place, road, second, sensor, sick, solution, solve, student, students, team, teams, technology, tim, university, video, watch, worcester

Join the Robotics & Automation News community

Reader Interactions

You must log in to post a comment.

Primary Sidebar

Most Read

  • Top 20 electric vehicle charging station companies
    Top 20 electric vehicle charging station companies
  • DHL becomes first to install Boston Dynamics’ Stretch robot to unload trucks
    DHL becomes first to install Boston Dynamics’ Stretch robot to unload trucks
  • Why is My Car Key Stuck in the Ignition?
    Why is My Car Key Stuck in the Ignition?
  • Why Artificial Intelligence is Digital Marketing’s Future
    Why Artificial Intelligence is Digital Marketing’s Future
  • Top 20 programmable logic controller manufacturers
    Top 20 programmable logic controller manufacturers
  • Difference Between Three-Phase and Single-Phase Power
    Difference Between Three-Phase and Single-Phase Power
  • Recycleye raises additional $17 million in Series A funding
    Recycleye raises additional $17 million in Series A funding
  • Scientists have found more water in space than they ever knew possible
    Scientists have found more water in space than they ever knew possible
  • The Best Mechanical Engineering Design Software in 2022
    The Best Mechanical Engineering Design Software in 2022
  • Supply chain robotics company Symbotic reports $12 billion in orders
    Supply chain robotics company Symbotic reports $12 billion in orders

Overused words

ai applications automated automation automotive autonomous business china companies company control customers data design development digital electric global industrial industry logistics machine manufacturing market mobile operations platform process production robot robotic robotics robots safety software solution solutions system systems technologies technology time vehicle vehicles warehouse

Secondary Sidebar

Latest news

  • Insuring against the risks of automation
  • Cheesy technology: Sargento increases outbound fulfillment with Westfalia warehouse automation
  • Ad Blockers Could Be Helpful for Your Privacy
  • LG robots deliver Korean food from Atlanta restaurant
  • Recycleye raises additional $17 million in Series A funding
  • 5 Reasons Why You Should Invest in Tesla this 2023
  • Starship expands robotic delivery to more college campuses with Grubhub
  • How Ransomware Attacks Changed the Threat Landscape
  • Supply chain robotics company Symbotic reports $12 billion in orders
  • DHL becomes first to install Boston Dynamics’ Stretch robot to unload trucks

Footer

We are…

Robotics and Automation News was established in May, 2015, and is now one of the most widely-read websites in its category.

Please consider supporting us by becoming a paying subscriber, or through advertising and sponsorships, or by purchasing products and services through our shop – or a combination of all of the above.

Thank you.

Independent

Archivists

May 2020
M T W T F S S
 123
45678910
11121314151617
18192021222324
25262728293031
« Apr   Jun »

Complex

Old-skool

This website and its associated magazine, and weekly newsletter, are all produced by a small team of experienced journalists and media professionals.

If you have any suggestions or comments, feel free to contact us at any of the email addresses on our contact page.

We’d be happy to hear from you, and will always reply as soon as possible.

Future-facing

Free, fair and legal

We support the principles of net neutrality and equal opportunities.

Member of The Internet Defense League

Copyright © 2023 · News Pro on Genesis Framework · WordPress · Log in

We use cookies on our website to give you the most relevant experience by remembering your preferences and repeat visits. By clicking “Accept”, you consent to the use of ALL the cookies.
Do not sell my personal information.
Cookie SettingsAccept
Manage consent

Privacy Overview

This website uses cookies to improve your experience while you navigate through the website. Out of these, the cookies that are categorized as necessary are stored on your browser as they are essential for the working of basic functionalities of the website. We also use third-party cookies that help us analyze and understand how you use this website. These cookies will be stored in your browser only with your consent. You also have the option to opt-out of these cookies. But opting out of some of these cookies may affect your browsing experience.
Necessary
Always Enabled
Necessary cookies are absolutely essential for the website to function properly. These cookies ensure basic functionalities and security features of the website, anonymously.
CookieDurationDescription
cookielawinfo-checkbox-analytics11 monthsThis cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Analytics".
cookielawinfo-checkbox-functional11 monthsThe cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional".
cookielawinfo-checkbox-necessary11 monthsThis cookie is set by GDPR Cookie Consent plugin. The cookies is used to store the user consent for the cookies in the category "Necessary".
cookielawinfo-checkbox-others11 monthsThis cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Other.
cookielawinfo-checkbox-performance11 monthsThis cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Performance".
viewed_cookie_policy11 monthsThe cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. It does not store any personal data.
Functional
Functional cookies help to perform certain functionalities like sharing the content of the website on social media platforms, collect feedbacks, and other third-party features.
Performance
Performance cookies are used to understand and analyze the key performance indexes of the website which helps in delivering a better user experience for the visitors.
Analytics
Analytical cookies are used to understand how visitors interact with the website. These cookies help provide information on metrics the number of visitors, bounce rate, traffic source, etc.
Advertisement
Advertisement cookies are used to provide visitors with relevant ads and marketing campaigns. These cookies track visitors across websites and collect information to provide customized ads.
Others
Other uncategorized cookies are those that are being analyzed and have not been classified into a category as yet.
SAVE & ACCEPT