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Robotics

Locus’s new robots learn to navigate warehouses by themselves

The process of automating, and replacing more human workers, is paved with small advances like this one

Key takeaways

  • Last week Locus Robotics unveiled a robotic navigation system that lets their LocusBots work more effectively together, and with humans in crowded, bustling warehouses.
  • The LRAN system, which stands for Locus Robotics Advanced Navigation, debuted at the industry trade show ProMat in Chicago.
  • The company’s old navigation technology worked similarly to Google maps with a layer of task planning and computer vision on top of it.
Cite or link to this article

Griffin, M. (2017) 'Locus’s new robots learn to navigate warehouses by themselves', 311 Institute, 10 April. Available at: https://www.311institute.com/locuss-new-robots-learn-to-navigate-warehouses-by-themselves/ (Accessed: 1 October 2026).

Last week Locus Robotics unveiled a robotic navigation system that lets their LocusBots work more effectively together, and with humans in crowded, bustling warehouses. The LRAN system, which stands for Locus Robotics Advanced Navigation, debuted at the industry trade show ProMat in Chicago.

Locus Robotics was formed after Amazon bought Kiva Systems. The company’s founders, Bruce Welty and Mike Johnson, had been operating third party fulfilment centers for online retailers using Kiva’s robots but when Amazon bought the company and stopped selling the robots the two founders had to find another robo solution to help them and their associates quickly pick and pack orders, and so Locus Robotics was born.

The company’s old navigation technology worked similarly to Google maps with a layer of task planning and computer vision on top of it. In other words they followed a pre-arranged route, but now, the new LRAN system lets the robots communicate with one another about the various structures, obstacles, people and events they see, using machine vision, as they move around the warehouse.

 

This data fusion allows each robot to have a more comprehensive understanding of what’s happening in the environment where they work, navigate their way around without relying on pre-programmed maps and lets them be more reactive - avoiding bumping into people or each other much the way that people avoid each other in crowded streets or hallways.

Stuart Johnson, the company’s COO, explained the reason the company upgraded its system has to do with the growth of E-Commerce and evolution of warehouse automation.

“E-commerce fulfilment is a very unstructured world. The facilities are changing by the minute. You have lots of moving people, products and equipment. This poses a challenge a lot like the one you read about more often with self-driving cars. Robots have to navigate safely while making people more productive,” he said.

At ProMat, Johnson said, people have been playing with six LocusBots, trying to get them to bump into each other or a person. But with the new LRAN systems at work, the LocusBots have remained “patient” and let people and other robots pass by, or managed to find other routes around them.

While this new advance might seem an obvious next step for warehouse robotics it’s another step along the path to make robots more autonomous and more capable, and with every step they take they get one step closer to replacing the human workers they’re trying to avoid. One day as, for example, robot pickers surpass human workers -as they're just about to - we will find that there are no people to avoid, only robots.

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The process of automating, and replacing more human workers, is paved with small advances like this one

Matthew Griffin

About the author

Matthew Griffin Founder, 311 Institute

Matthew Griffin is a multi-award winning Futurist and expert in Disruption and Innovation, Geopolitics, Leadership, and Technology, who NASA have described as a "walking encyclopaedia of the future" and a "futurist Polymath."

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Matthew Griffin is a multi-award winning Futurist and expert in Disruption and Innovation, Geopolitics, Leadership, and Technology, who NASA have described as a "walking encyclopaedia of the future" and a "futurist Polymath." 15-time best selling author of the "Codex of the Future" series, Matthew is the Founder and Futurist in Chief of the 311 Institute, a global Futures and Deep Futures advisory firm working with royal households, world leaders, G7, G20, and G77 governments, NGOs, and multi-national mid and mega cap firms to help them explore, shape, and lead the next 50 years of business and society.

An award-winning YouTube creator with over a million followers, with an unrivalled global reach and impact, Matthew is a highly sought-after international keynote speaker, lecturer, and mentor who collaborates with global leaders through the United Nations Alliance of Civilizations (UNAOC) and United Nations General Assembly (UNGA) to shape pivotal initiatives such as the UN’s AI for Humanity program, the United Nations Conference of the Parties (UN COP), and the World Economic Forum in Davos.

As the former Global Head of Cloud, National Security, and Enterprise Sales for companies including Atos, Dell-EMC, and IBM, Matthew has a proven track record of building multi-billion dollar business units and turning failing divisions into market leaders. His ability to identify, analyse, and communicate the implications of hundreds of emerging technologies and trends is unparalleled, and his insights are trusted by many of the world’s most respected organisations, including ABB, Accenture, Adidas, AON, ARM, BCG, Centrica, Citi, Coca-Cola, Dentons, Deloitte, Dow Jones, EY, Google, KPMG, Lego, Legal & General, LinkedIn, Microsoft, PepsiCo, Qualcomm, RWE, Samsung, Siemens AG and Siemens Energy, T-Mobile, UBS, VISA, Walmart, Workday, Worldpay and many others.

Regularly featured in the global media including the AP, BBC, Bloomberg, CNBC, Discovery, Forbes, Khaleej Times, Telegraph, TIME, ViacomCBS, WIRED, and the WSJ, Matthews mission is to help organisations create a fair and sustainable future whose benefits are shared by everyone irrespective of their ability, background, or circumstances.

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Sources and further reading

  1. ProMat promatshow.com

Source: first published by the 311 Institute on 10 April 2017. Cite as: Griffin, M. (2017). Locus’s new robots learn to navigate warehouses by themselves. 311 Institute. https://www.311institute.com/locuss-new-robots-learn-to-navigate-warehouses-by-themselves/

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