Category Archives: Robotics

The University of Michigan (U-M) and Ford Motor Company have opened a new facility dedicated to advancing robotics, autonomous vehicle technology and future mobility solutions.

U-Ms Ford Motor Company Robotics Building is a four-story, US$75m, 134,000ft2 complex situated on the north campus. As the new hub of the U-M Robotics Institute, its first three floors hold custom U-M research labs for robots that fly, walk, roll and augment the human body as well as classrooms, offices and makerspaces. Through a unique agreement, the fourth floor houses Fords first robotics and mobility research lab on a university campus, as well as 100 Ford researchers and engineers.

The new facility brings together U-M researchers from 23 different buildings and 10 top-10 programs. With the new infrastructure, researchers working on two-legged disaster response robots can test them on a 30mph treadmill studded with obstacles, or on a stair-stepped robot playground designed with the help of artificial intelligence. Biomedical engineers will have access to earthquake platforms with force-feedback plates to guide their development of lighter-weight, more efficient prosthetic legs. And Ford engineers will explore how their upright Digit robots can work in human spaceswhile taking AVs from robotic computer simulations to on-road testing at U-Ms world-class proving ground just down the road.

As Ford continues the most profound transformation in our history with electrification, connectivity and automation, advancing our collaboration with the University of Michigan will help us accelerate superior experiences for our customers while modernizing our business, said Ken Washington, chief technology officer, Ford Motor Company. We also will broaden our learning through daily exposure to many robotics activities, such as considering how our Digit robots not only technically can master delivering packages from autonomous vehicles but also become valued parts of our neighborhoods.

For Ford, the facility is key to the companys transformed and modernized research and product development processes aimed at disrupting the transportation landscape.

Key research will focus on:

Autonomous vehicles have the opportunity to change the future of transportation and the way we move, said Tony Lockwood, technical manager, Autonomous Vehicle Research, Ford Motor Company. As this new technology rolls out, having our Ford team working on campus collaborating with the academic world will help us shorten the time it takes to move research projects to automotive engineering, unlocking the potential of autonomous vehicles.

The Ford Robotics Building anchors the west end of the Michigan Avenue mobility testbed that begins in Detroits Corktown neighborhood and runs through Dearborn to Ann Arbor, where Ford and U-M are teaming with other innovators to experiment with potential mobility solutions for the future.

In collaboration with the state of Michigan and others, Ford and U-M are involved in developing this first-of-its-kind corridor for connected and autonomous vehicles that will continue the states mission to lead the development of smart infrastructure and future mobility. A key goal of the initiative is to close long-standing gaps in access to public transit and transportation across southeast Michigan.

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University of Michigan and Ford establish AV and robotics development facility - Automotive Testing Technology International

Researchers at ORNL and the University of Tennessee developed an automated workflow that combines chemical robotics and machine learning to speed the search for stable perovskites. Credit: Jaimee Janiga/ORNL, U.S. Dept of Energy

Researchers at the Department of Energys Oak Ridge National Laboratory and the University of Tennessee are automating the search for new materials to advance solar energy technologies.

A novel workflow published in ACS Energy Letters combines robotics and machine learning to study metal halide perovskites, or MHPs thin, lightweight, flexible materials with outstanding properties for harnessing light that can be used to make solar cells, energy-efficient lighting and sensors.

Our approach speeds exploration of perovskite materials, making it exponentially faster to synthesize and characterize many material compositions at once and identify areas of interest, said ORNLs Sergei Kalinin.

The study, part of an ORNL-UT Science Alliance collaboration, aims to identify the most stable MHP materials for device integration.

Automated experimentation can help us carve an efficient path forward in exploring what is an immense pool of potential material compositions, said UTs Mahshid Ahmadi.

Although MHPs are attractive for their high efficiency and low fabrication costs, their sensitivity to the environment limits operational use. Real-world examples tend to degrade too quickly in ambient conditions, such as light, humidity or heat, to be practical.

The enormous potential for perovskites presents an inherent obstacle for materials discovery. Scientists face a vast design space in their efforts to develop more robust models. More than a thousand MHPs have been predicted, and each of these can be chemically modified to generate a near limitless library of possible compositions.

It is difficult to overcome this challenge with conventional methods of synthesizing and characterizing samples one at a time, said Ahmadi. Our approach allows us to screen up to 96 samples at a time to accelerate materials discovery and optimization.

The team selected four model MHP systems yielding 380 compositions total to demonstrate the new workflow for solution-processable materials, compositions that begin as wet mixtures but dry to solid forms.

The synthesis step employed a programmable pipetting robot designed to work with standard 96-well microplates. The machine saves time over manually dispensing many different compositions; and it minimizes error in replicating a tedious process that needs to be performed in exactly the same ambient conditions, a variable that is difficult to control over extended periods.

Next, researchers exposed samples to air and measured their photoluminescent properties using a standard optical plate reader.

Its a simple measurement but is the de facto standard for characterizing stability in MHPs, said Kalinin. The key is that conventional approaches would be labor intensive, whereas we were able to measure the photoluminescent properties of 96 samples in about five minutes.

Repeating the process over several hours captured complex phase diagrams in which wavelengths of light vary across compositions and evolve over time.

The team developed a machine-learning algorithm to analyze the data and home in on regions with high stability.

Machine learning enables us to get more information out of sparse data by predicting properties between measured points, said ORNLs Maxim Ziatdinov, who led development of the algorithm. The results guide materials characterization by showing us where to look next.

While the study focuses on materials discovery to identify the most stable compositions, the workflow could also be used to optimize material properties for specific optoelectronic applications.

The automated process can be applied to any solution-processable material for time and cost savings over traditional synthesis methods.

Reference: Chemical Robotics Enabled Exploration of Stability in Multicomponent Lead Halide Perovskites via Machine Learning by Kate Higgins, Sai Mani Valleti, Maxim Ziatdinov, Sergei V. Kalinin and Mahshid Ahmadi, 15 October 2020, ACS Energy Letters.DOI: 10.1021/acsenergylett.0c01749

The research was supported by the Science Alliance, a Tennessee Center of Excellence, and the Center for Nanophase Materials Sciences, a DOE Office of Science User Facility.

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Automated Chemistry Combines Chemical Robotics and AI to Accelerate Pace for Advancing Solar Energy Technologies - SciTechDaily

The global Warehouse Robotics market size is expected to gain market growth in the forecast period of 2020 to 2025, with a CAGR of 8.0% in the forecast period of 2020 to 2025 and will expected to reach USD 3902.5 million by 2025, from USD 2864.3 million in 2019.

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Warehouse Robotics Market Worth $3902.5 Million by 2026 and Forecasted to Grow at CAGR 8% from 2020 to 2030 Comprehensive Report by Apex Market...

Artificial intelligence can already guess which ads consumers want to see on their mobile devices. Its just a sliver of whats in store with ETFs like the Global X Robotics & Artificial Intelligence Thematic ETF (BOTZ).

BOTZ seeks to invest in companies that stand to benefit from increased adoption and utilization of robotics and artificial intelligence (AI), including those involved with industrial robotics and automation, non-industrial robots, and autonomous vehicles.

See also:BOTZ vs. ROBO: Head-To-Head ETF Comparison

Additionally, BOTZ seeks to provide investment results that correspond generally to the price and yield performance, before fees and expenses, of the Indxx Global Robotics & Artificial Intelligence Thematic Index. The index itself captures large- and mid-cap representation across 23 Developed Markets (DM) and 24 Emerging Markets (EM) countries.

Fund benefits include:

According to a CNBC article, AIs capability will create so much wealth that every adult in the United States could be paid $13,500 per year from its windfall as soon as 10 years from now. This forecast was offered by Sam Altman, co-founder and president of San Francisco-headquartered, artificial intelligence-focused nonprofit OpenAI.

My work at OpenAI reminds me every day about the magnitude of the socioeconomic change that is coming sooner than most people believe, Altman posted. Software that can think and learn will do more and more of the work that people now do.

In the meantime, BOTZs top holding is showing just how strong investors believe in the growth potential of AI. ABB Ltd, which comprises about 8% of the funds allocation, is up almost 100% the past year.

For more news and information, visit the Thematic Investing Channel.

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If Robots Are the Future, Shouldn't You Be Investing in Them? - ETF Trends

Food-Packaging-Robotics-Market

Latest research on Global Food Packaging Robotics Market report covers forecast and analysis on a worldwide, regional and country level. The study provides historical information of 2016-2021 together with a forecast from 2021 to 2026 supported by both volume and revenue (USD million). The entire study covers the key drivers and restraints for the Food Packaging Robotics market. this report included a special section on the Impact of COVID19. Also, Food Packaging Robotics Market (By major Key Players, By Types, By Applications, and Leading Regions) Segments outlook, Business assessment, Competition scenario and Trends .The report also gives 360-degree overview of the competitive landscape of the industries.

Moreover, it offers highly accurate estimations on the CAGR, market share, and market size of key regions and countries. Players can use this study to explore untapped Food Packaging Robotics markets to extend their reach and create sales opportunities.

Some of the key manufacturers operating in this market include: ABB, FANUC, MideaGroup, RethinkRobotics, UniversalRobots, YASKAWAELECTRIC and More

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Our Research Analyst implemented a Free PDF Sample Report copy as per your Research Requirement, also including impact analysisofCOVID-19 on Food Packaging Robotics Market Size

Food Packaging Robotics market competitive landscape offers data information and details by companies. Its provides a complete analysis and precise statistics on revenue by the major players participants for the period 2021-2026. The report also illustrates minute details in the Food Packaging Robotics market governing micro and macroeconomic factors that seem to have a dominant and long-term impact, directing the course of popular trends in the global Food Packaging Robotics market.

Product Type Coverage (Market Size & Forecast, Major Company of Product Type etc.): AutomaticFoodPackagingRobotics Semi-AutomaticFoodPackagingRoboticsApplication Coverage (Market Size & Forecast, Different Demand Market by Region, Main Consumer Profile etc.): FoodIndustry BeverageIndustry Other

Regions Covered in the Global Food Packaging Robotics Market:1. South America Food Packaging Robotics Market Covers Colombia, Brazil, and Argentina.2. North America Food Packaging Robotics Market Covers Canada, United States, and Mexico.3. Europe Food Packaging Robotics Market Covers UK, France, Italy, Germany, and Russia.4. The Middle East and Africa Food Packaging Robotics Market Covers UAE, Saudi Arabia, Egypt, Nigeria, and South Africa.5. Asia Pacific Food Packaging Robotics Market Covers Korea, Japan, China, Southeast Asia, and India.Years Considered to Estimate the Market Size:History Year: 2015-2021Base Year: 2021Estimated Year: 2021Forecast Year: 2021-2026

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Food Packaging Robotics Market- increasing demand with Industry Professionals: ABB, FANUC, Midea Group, Rethink Robotics, Universal Robots, etc KSU |...

The work under this research agreement will focus on the identification of sensor technologies that have the potential to perform well on in-orbit platforms in support of space domain awareness which is the study and monitoring of satellites orbiting earth as well as satellite docking and maintenance.

The new research project involves an initial scoping study phase, which, if successful, may lead to further developments.

The research project was funded by the SmartSat Cooperative Research Centre (CRC). It presents opportunities for new space projects that will flow from the SmartSat CRC initiative, contributing to the growth of a sovereign Australian space industry.

University of Sydney Dean of the Faculty of Engineering, Professor Willy Zwaenepoel said: This project represents an outstanding opportunity to engage with a global industry leader in the area of satellite systems, while also nurturing our domestic capability in Australia.

"It will engage our staff and students in the development of state-of-the-art satellite capabilities. Having recently been designated as the Academic Institution of the Year at the Australian Space Awards, the University of Sydney is in a unique position to deliver on the proposed project outcomes.

Thales Australia Director of Technical Strategy, Michael Clarke said the company has a long and proud history of partnering with academic and SMEs to develop next generation sovereign technologies.

This research project is no exception, and is another great example of demonstrating how collaboration will help grow sovereign space capability, while providing additional opportunities for SMEs to feed into our global projects, said Mr Clark.

HEO Robotics CEO, William Crowe said: HEO Robotics is an ambitious Australian space startup that is already supplying customers with insights using our HEO Inspect product. Were pleased to work with the likes of Thales Australia and the University of Sydney to supercharge our development and feed into the global supply chain of leading space companies.

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University partners with Thales, HEO Robotics on space research - News - The University of Sydney

Company Announcement No. 22-2021Copenhagen, March 24, 2021

This announcement is a summary and should be read in conjunction with Shape Robotics' Annual Report 2020 published on 24 March 2021. The Annual Report for 2020 will be availableon the company's website and on this link.

Results from the financial year 2020 was previously announced on 17 February 2021 with the Year-end interim report.

Financial highlights in 2020

Business highlights in 2020

Outlook 2021

Long-term financial targets

Financial calendar, upcoming

Never miss important newsSign up to the Shape Robotics Investor Newsletter here

About Shape Robotics A/SShape Robotics is a Danish robotics company with a strong position in the global educational technology ("EdTech") market. The Company has developed Fable, a unique modular robot that makes it easy and fun for students to build and program their own robots. Since the launch of Fable in 2017 thousands of robots have been sold and shipped to schools around the world.

Shape Robotics helps educational institutions provide excellent teaching that will prepare students for a fast-changing future where digital technologies, artificial intelligence, and automation are transforming life and work. Fable is a modular robot that students can build in seconds. The robot system is robust, can withstand everyday usage in classrooms and can be used to solve demanding tasks. Students code Fable depending on their experience - from simple block programming to coding in the advanced Python language. Comprehensive teaching materials have been developed in collaboration with professional educators. Therefore, Shape Robotics provides complete teaching solutions for educational institutions from the 3rd grade to high-school and vocational schools.

In 2020 Shape Robotics launched a new telepresence robotics system called Fable Connect. The system enables schools to get homebound students back in the classroom using the robot as a communication device. The product broadens the company's offering and has been well received by the Danish Schools. Hundreds of Fable Connect robots are now being used at schools and hospitals, mainly by children with long-term health issues. The market for Fable Connect is expected to grow and become an important product for the company in the years to come.

Further InformationDavid Johan Christensen, CEO Shape Robotics A/STel. (+45) 2685 0903Email: david@shaperobotics.com

Investor relationsAndr Fehrn, CFO Shape Robotics A/STlf. (+45) 2444 8556Email: ir@shaperobotics.comRugmarken 18, 3520 Farum, DenmarkCVR-nr. 38322656www.shaperobotics.com

Certified advisor contactVstra Hamnen Corporate Finance ABChrister NilssonTel. (+46) 733968404Email: ca@vhcorp.seJungmansgatan 12, 211 11 Malm, SwedenBredgade 30, 1260 Copenhagen, Denmark

https://news.cision.com/shape-robotics/r/annual-report-2020---increase-in-contribution-margin-and-revenue-in-line-with-expectations,c3313014

https://mb.cision.com/Main/19419/3313014/1391800.pdf

(c) 2021 Cision. All rights reserved., source Press Releases - English

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Shape Robotics A/S : Annual Report 2020 - increase in contribution margin and revenue in line with expectations - marketscreener.com

Nuclear-Robotics-Market

Latest research on Global Nuclear Robotics Market report covers forecast and analysis on a worldwide, regional and country level. The study provides historical information of 2016-2021 together with a forecast from 2021 to 2026 supported by both volume and revenue (USD million). The entire study covers the key drivers and restraints for the Nuclear Robotics market. this report included a special section on the Impact of COVID19. Also, Nuclear Robotics Market (By major Key Players, By Types, By Applications, and Leading Regions) Segments outlook, Business assessment, Competition scenario and Trends .The report also gives 360-degree overview of the competitive landscape of the industries.

Moreover, it offers highly accurate estimations on the CAGR, market share, and market size of key regions and countries. Players can use this study to explore untapped Nuclear Robotics markets to extend their reach and create sales opportunities.

Some of the key manufacturers operating in this market include: Northrop Grumman, iRobot, BAE Systems, AB Precision Ltd, Boston Dynamics and More

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Product Type Segmentation:Robot HardwareSoftwareServicesIndustry Segmentation:MeasurementsInspectionsRadiochemical HandlingNuclear Decommissioning

Regions Covered in the Global Nuclear Robotics Market:1. South America Nuclear Robotics Market Covers Colombia, Brazil, and Argentina.2. North America Nuclear Robotics Market Covers Canada, United States, and Mexico.3. Europe Nuclear Robotics Market Covers UK, France, Italy, Germany, and Russia.4. The Middle East and Africa Nuclear Robotics Market Covers UAE, Saudi Arabia, Egypt, Nigeria, and South Africa.5. Asia Pacific Nuclear Robotics Market Covers Korea, Japan, China, Southeast Asia, and India.

Years Considered to Estimate the Market Size:History Year: 2015-2020Base Year: 2020Estimated Year: 2021Forecast Year: 2021-2026

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Global Nuclear Robotics Market demand with COVID-19 recovery analysis 2021 better delivery process to boost market growth by 2026 KSU | The Sentinel...

SOR has shown that its technology can provide the solution to a $US34.5bn agriculture problem in the US market.

Tech venture company Strategic Elements (ASX:SOR) has identified an exciting new market opportunity through its fully-owned subsidiary, Stealth Technologies.

The company flagged early test results this morning that showed Stealths market-leading automation and robotics platform (AxV) has the capability to deploy advanced weed detection technologies for use in the global agriculture sector.

The spread of weeds is still a significant issue for crop yields globally, where production losses are estimated at more than $3bn in Australia, while in the US the cost is estimated at more than $US30bn.

The use of expensive chemicals also remains prevalent, while existing weed detection technologies are limited in their capacity to distinguish weeds that are the same colour as crops.

That second point in particular is what makes the potential market opportunity for Stealths early-detection technology a lucrative one.

Working together with researchers at the Australian Herbicide Resistance Initiative and the University of Western Australia School of Agriculture and Environment, the Stealth team has proved out early validation for the use of its technology in early weed detection.

The group began by installing Stealths advanced detection technology onto a combine harvester, as part of a barley harvest at a broadacre farm test-site in WA.

By compiling data and running algorithm analyses, the group then ran tests of the Stealth platforms capacity for weed detection, referenced against the location of known weeds.

And early data showed the technology had a 100 per cent success rate for detecting weeds, with a height threshold of 20cm above the canopy.

Significantly, the technology was able to detect weeds from the barley crop notwithstanding the fact that both were brown in colour and barely distinguishable to the human eye, SOR said.

Currently available technologies using computer vision solutions would be unable to replicate these results.

It adds up to an exciting market opportunity for SOR, given the ongoing use of pesticides in the global agriculture sector to control weeds.

But along with being high-cost, existing weed systems also develop a resistance to herbicides over time.

It means the industry is in a position to react quickly to new weed detection technologies that form that basis of alternative agronomic techniques such as targeted spot-fertilising or increasing seed levels during crop season.

All these techniques require accurate knowledge of weed locations, that to date is lacking in farm management, SOR noted.

The technologies that Stealth and its collaboration partners are developing are designed to solve this problem in large-scale crop farming, whilst keeping the work-rate at the required levels.

With a new market opportunity identified, Stealth has filed a patent for its weed detection technology that includes the arrangement of sensors on the platform, and software used to analyse the data.

Looking ahead, the company provided a 2021 timeline where it plans to scale up to commercial testing in the second half of this year.

The group plans to deploy its weed detection technology for at least 10 potential end customer reference sites by November, SOR said.

Commenting on the announcement, Strategic Elements CEO Charles Murphy said it reflected Stealths capacity to build out a platform with use-cases across a number of different market verticals.

From an Australian domestic market context other sectors like logistics and mining also have attractive opportunities and we are very active in seeking the right partners with which to collaborate, Murphy said.

This article was developed in collaboration with Strategic Elements, a Stockhead advertiser at the time of publishing.

This article does not constitute financial product advice. You should consider obtaining independent advice before making any financial decisions.

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SORs leading robotics platform targets key opportunity in the multi-billion-dollar global agriculture s ... - Stockhead

Its the last roundup for two La Jolla eighth-grade robotics teams that have students who have been together since elementary school and are trying to make the most of their last year before moving on to what in some cases will be different high schools.

The Muirlands Constructors and Team Architech, whose members are predominantly from Muirlands Middle School, are participating in the Southern California First Lego League robotics tournament, with the next round of competition April 10 and 17.

The online competition had its qualifying tournament the first two weekends in March. Teams design their own solutions to real-world engineering challenges while building autonomous Lego robots that perform a series of missions, according to FLL. This year, the teams also were tasked with finding a way to get the community active during the COVID-19 pandemic.

The five students on the Muirlands Constructors team Jackson Brown, Jacob and Ben Khamishon, Isla Archbold and Jordan Hochberg opted to build a Rally Ball table as their activity project. Jordan went to Muirlands for two of his three middle-school years and now goes to La Jolla Country Day School.

From left, Jackson Brown, Jacob and Ben Khamishon, Isla Archbold and Jordan Hochberg are the Muirlands Constructors.

(Courtesy)

Jacob said the team members have known each other since second grade, and they started the team in third grade. Its cool to see how much we have grown in knowledge and how much weve accomplished over the years, he said. This year, we put everything we knew from previous years into the competition. We know how the judges would grade us based on previous experiences, so we built everything around that.

Rally Ball, inspired by a game called TeqBall, involves volleying a soccer ball over a divider on an arched tabled using the players knees, feet, sides, head or hands. It is designed to be accessible to players of all ages and abilities.

The team built the table over a few weeks in Jacksons garage and gave it a test run by moving it to the La Jolla Recreation Center grounds for people to use outdoors. The members made a video documenting the process, interviewing players and showing how it can be used.

The team cleared the qualifying round and now proceeds to the regional round.

A video produced by the Muirlands Constructors demonstrates how to use the Rally Ball table they built.

(Courtesy)

Ben credited the teams success to the members chemistry and ability to work together. A big part of robotics is what is known as the core values, which are innovation, discovery, impact, inclusion, teamwork and fun, he said. Our first year, we didnt have the chemistry we needed. I think we got negative points once. But we learned to work together. Each of us has our own skills, and when we work together, we can accomplish something bigger.

All the members said their interest in robotics started in elementary school and continued in middle school. They said theyd like to continue robotics in high school.

Robotics was a big thing at our elementary school, so I wanted to try it, Isla said. Its really sparked my interest and I plan on doing robotics in high school and I think its a really fun thing. But I wouldnt have experienced if I hadnt just tried it out.

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Jordan said he was in a little club in elementary school that met after school. Since then, its been a great journey because Ive learned so much about coding, building, problem solving, on and off the team. I believe I am going to continue to learn and grow, and the team has helped me with that.

For Jackson, being on the team has expanded a preexisting interest in robotics. Ive always loved building things, since I was very little, he said. Since being on this team, Ive had the opportunity to build robots but also learn programming. Before robotics, I hadnt had any experience programming. This team has sparked my interest in coding.

Learn more about the team by visiting youtube.com/watch?v=391k_NAR9l8.

For most members of Team Architech, the FLL competition which only goes through eighth grade is the end of a four-year road they started as fifth-graders. But theyre leaving on a high note: Muirlands eighth-graders Elena Grilli, Mira and Sarah Lehman, Nathaniel Muus, Kyle Palmer, Leo Souza, Emma Weibel and Grant Williams, and fifth-grader Kevin Palmer, who attends Torrey Pines Elementary School and joined the team late last spring, won first place in robot performance in the qualifying round.

The team built its robot and programmed it to perform several actions based on FLL missions. The question is, what didnt the robot do? Grant said.

Members of Team Architech, top row from left: Sarah and Mira Lehman, Elena Grilli, Kevin Palmer, coach Neal Palmer and Kyle Palmer. Middle row from left: Emma Weibel, Leo Souza and Grant Williams. Bottom row: Nathaniel Muus. Not pictured: coach Francesco Grilli.

(Courtesy)

Architechs project to improve community activity was a prototype for an app [in which] you can put in what type of skill you want to learn, Emma said. Then it gives you an exercise for it.

What we were centered around is motivation, she said. We found that we all had a different motivation. Everybodys different, but one thing that everybody does have in common is that they want to learn things to better themselves, like learning how to do a handstand. If people can learn through the app that we create, theyd be more motivated to try to exercise.

Mira said: The idea that were all really trying to solve for was utilitarianism. We wanted this app ... to be able to benefit a large portion of the population.

When we look at pictures of us when we were all four years younger than we are now, its really interesting to see that we were all learning and all growing as people but at the same time youre all still the same robotics team, Elena said. Wednesdays and Sundays every week we would all get together and build something great. Its nice to have that constant over the years.

One of the biggest things that I will take away from robotics, Emma said, is the critical thinking skills that I learned throughout it. Ive taken away so much knowledge around technology, which we are going to be seeing a lot more in the future.

Grant said all of us have taken away some very important skills, such as how to be working together better as a group, how to get better at an engineering mindset [and] coding. We learned to overcome our differences, because were all very different and we think differently.

Also, Sarah said, its just fun. Sometimes that element gets a little lost when you try to come up with all these answers, but it definitely was fun to build robots and to compete against other teams who also liked the same things you do.

See a YouTube video about Team Architech at bit.ly/2P9QIom.

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Muirlands-based robotics teams reflect on their years together as middle school winds down - La Jolla Light