Featured Article

Locus Robotics’ success is a tale of focusing on what works

CEO Rick Faulk discusses the company’s new software, the state of the industry and the future of humanoids

Comment

Locus Robotics logo on tradeshow booth
Image Credits: Brian Heater

“We’re fundamentally a software company,” Locus CEO Rick Faulk says with a laugh. We look like a robot company, but we’re actually a software company.”

It’s a familiar refrain from companies whose most public-facing products are hardware. That’s certainly the case with Locus, which produces the best-known AMRs (autonomous mobile robots) not made by Amazon. While it’s true that these tote-moving systems are fundamental to the Massachusetts-based firm’s warehouse play, Faulk tells TechCrunch that the company’s software is what really sets the market leader apartment from the competition.

Locus currently offers fleet management software, essential to orchestrating robotic systems in a busy setting. That’s also a feature of the company’s latest offering, LocusHub Engine. Announced this week at the Modex supply chain show in Atlanta, the platform is designed to leverage the data collection that’s foundational to the company’s automation system. Much like your Roomba at home, Locus’ AMRs are packed with sensors that bring situational awareness and help it navigate around people, obstacles and other robots.

At their heart, they’re data-collecting machines that are also quite good at moving heavy payloads around warehouse floors. The new software offering uses AI to process the massive troves of data collected and offer predictions for what’s coming next.

“Most reporting in warehouses right now is what we call ‘reactive,’” Faulk tells TechCrunch. “It’s what happened. Someone picked X number of units per hour, here’s how many you should pick for the day, week and month. We believe that’s great and we still need that, but we also believe in having predictive analytics to tell you what’s about to happen is incredibly important.”

Utilizing machine learning, predictive modeling offers suggestions for where warehouse managers should distribute staff — both human and robot. The software can also be used to identify bottlenecks and refine the AMRs’ routes for better efficiency.

“We have uniquely integrated data capture from our robots into our platform,” says Faulk. “For example, I can go into my phone and look at any single robot in our system. I can actually control that robot and update that robot over my phone. We have the capabilities to be able to integrate both of those together.”

Locus’ founding was a direct result of Amazon’s 2012 Kiva Systems acquisition. Quiet Logistics, a former Kiva client, was among those customers left in the lurch when the retail giant decided to stop servicing outside companies, instead focusing the whole of its efforts on automating its own fulfilment processes. Quiet began its own robotics division in 2014, spinning out Locus the following year.

The Kiva acquisition was a massive catalyst for the category at large. Former executives from the robotics startup launched their own Locus competitor, 6 River Systems. That company has struggled in recent years, however, following its acquisition by Shopify and subsequent sale to English grocery technology licenser Ocado Group. Another key competitor, Fetch Robotics, was founded in 2014. In 2021, the company was acquired by commerce tech giant Zebra. More recently, founder Melonee Wise left the company to join Agility’s growing executive team.

You can spot dozens of direct competitors walking through the halls of Modex this week, but Locus remains the market leader by a wide margin. It’s a position further cemented by the explosion of interest in warehouse automation spurred on by the pandemic. Investor activity was at an all-time high, fueling companies hoping to level the playing field in a world completely dominated by the 800-pound Amazon gorilla.

Investor excitement has since abated. While it’s true that plenty of operations are still having difficulty hiring human labor, there’s still a regression to the mean. This January, Locus laid off a small number of staffers — a figure the company has yet to disclose.

“We frankly over-hired on our go-to-markets, like a lot of our clients,” says Faulk. “We came out of COVID and had projections on staffing needs and that sort of thing that were probably overestimated.” The CEO adds that the “adjustments” happened among Locus’ go-to-market headcount, rather than the engineering team.

But the company remains a success story in the category more broadly. It’s managed a steady growth by focusing on existing client needs, rather than attempting to be all things to all people. A decade after its founding, tote-transporting AMRs are still at the center of everything Locus does. Over the years, the company has added products like Vector, which can port up to 600 pounds and features specialized wheels that allow it to effectively drift sideways to better navigate tight spaces. Each new robot is — in essence — an iteration of Locus’ core robot product.

At present, human labor is essential to that story. Locus does not produce a mobile manipulator, meaning people have to move totes onto and off of the robot. Asked whether Locus will be the company to bring that technology to the warehouse, Faulk responds, “We will. We’re looking at a number of things that will reduce labor in a building. We have an R & D group that is looking at things to fully automate a building. Over time, I’m sure we’ll figure it out.

Perhaps unsurprisingly, Faulk isn’t particularly bullish on the role humanoid robots will play in that future.

“Maybe for specific functions it might [be useful],” he explains. There are challenges today between battery life, cost, uptime and all the other things that go along with it. I think eventually there may be some use cases for specific things. But I think that’s years away before there’s any scale. There are tests that will be done, but before anything gets to enterprise scale, I think it will be years.”

More TechCrunch

Mobile app developers, including Patreon and Grammarly, are already integrating with Gemini Nano, its smallest AI model, the company announced during its I/O developer keynote on Tuesday. The companies, along…

Patreon and Grammarly are already experimenting with Gemini Nano, says Google

As part of the update, Reddit also launched a dedicated AMA tab within the web post composer.

Reddit introduces new tools for ‘Ask Me Anything,’ its Q&A feature

Here are quick hits of the biggest news from the keynote as they are announced.

Google I/O 2024: Here’s everything Google just announced

LearnLM is already powering features across Google products, including in YouTube, Google’s Gemini apps, Google Search and Google Classroom.

LearnLM is Google’s new family of AI models for education

The official launch comes almost a year after YouTube began experimenting with AI-generated quizzes on its mobile app. 

Google is bringing AI-generated quizzes to academic videos on YouTube

Around 550 employees across autonomous vehicle company Motional have been laid off, according to information taken from WARN notice filings and sources at the company.  Earlier this week, TechCrunch reported…

Motional cut about 550 employees, around 40%, in recent restructuring, sources say

The keynote kicks off at 10 a.m. PT on Tuesday and will offer glimpses into the latest versions of Android, Wear OS and Android TV.

Google I/O 2024: Watch all of the AI, Android reveals

It ran 110 minutes, but Google managed to reference AI a whopping 121 times during Google I/O 2024 (by its own count). CEO Sundar Pichai referenced the figure to wrap…

Google mentioned ‘AI’ 120+ times during its I/O keynote

Google Play has a new discovery feature for apps, new ways to acquire users, updates to Play Points, and other enhancements to developer-facing tools.

Google Play preps a new full-screen app discovery feature and adds more developer tools

Soon, Android users will be able to drag and drop AI-generated images directly into their Gmail, Google Messages and other apps.

Gemini on Android becomes more capable and works with Gmail, Messages, YouTube and more

Veo can capture different visual and cinematic styles, including shots of landscapes and timelapses, and make edits and adjustments to already-generated footage.

Google Veo, a serious swing at AI-generated video, debuts at Google I/O 2024

In addition to the body of the emails themselves, the feature will also be able to analyze attachments, like PDFs.

Gemini comes to Gmail to summarize, draft emails, and more

The summaries are created based on Gemini’s analysis of insights from Google Maps’ community of more than 300 million contributors.

Google is bringing Gemini capabilities to Google Maps Platform

Google says that over 100,000 developers already tried the service.

Project IDX, Google’s next-gen IDE, is now in open beta

The system effectively listens for “conversation patterns commonly associated with scams” in-real time. 

Google will use Gemini to detect scams during calls

The standard Gemma models were only available in 2 billion and 7 billion parameter versions, making this quite a step up.

Google announces Gemma 2, a 27B-parameter version of its open model, launching in June

This is a great example of a company using generative AI to open its software to more users.

Google TalkBack will use Gemini to describe images for blind people

Firebase Genkit is an open source framework that enables developers to quickly build AI into new and existing applications.

Google launches Firebase Genkit, a new open source framework for building AI-powered apps

This will enable developers to use the on-device model to power their own AI features.

Google is building its Gemini Nano AI model into Chrome on the desktop

Google’s Circle to Search feature will now be able to solve more complex problems across psychics and math word problems. 

Circle to Search is now a better homework helper

People can now search using a video they upload combined with a text query to get an AI overview of the answers they need.

Google experiments with using video to search, thanks to Gemini AI

A search results page based on generative AI as its ranking mechanism will have wide-reaching consequences for online publishers.

Google will soon start using GenAI to organize some search results pages

Google has built a custom Gemini model for search to combine real-time information, Google’s ranking, long context and multimodal features.

Google is adding more AI to its search results

At its Google I/O developer conference, Google on Tuesday announced the next generation of its Tensor Processing Units (TPU) AI chips.

Google’s next-gen TPUs promise a 4.7x performance boost

Google is upgrading Gemini, its AI-powered chatbot, with features aimed at making the experience more ambient and contextually useful.

Google’s Gemini updates: How Project Astra is powering some of I/O’s big reveals

Veo can generate few-seconds-long 1080p video clips given a text prompt.

Google’s image-generating AI gets an upgrade

At Google I/O, Google announced upgrades to Gemini 1.5 Pro, including a bigger context window. .

Google’s generative AI can now analyze hours of video

The AI upgrade will make finding the right content more intuitive and less of a manual search process.

Google Photos introduces an AI search feature, Ask Photos

Apple released new data about anti-fraud measures related to its operation of the iOS App Store on Tuesday morning, trumpeting a claim that it stopped over $7 billion in “potentially…

Apple touts stopping $1.8B in App Store fraud last year in latest pitch to developers

Online travel agency Expedia is testing an AI assistant that bolsters features like search, itinerary building, trip planning, and real-time travel updates.

Expedia starts testing AI-powered features for search and travel planning