Section 4
Robots didn't stay bolted to the factory floor forever. As technology progressed, robotics expanded beyond the fixed-arm machines into mobile and autonomous robots that could move through the world. The next big leap was giving robots wheels (or legs or propellers) and letting them navigate dynamic environments on their own.
This meant robots could venture out of the structured, pre-defined assembly lines and into warehouses, sidewalks, offices, and even the skies. The transition began with early Automated Guided Vehicles (AGVs) in the mid-20th century – essentially robotic carts used in factories to ferry materials.
The very first AGVs appeared as far back as the 1950s, following fixed tracks or wires embedded in factory floors. For decades, these guided vehicles were useful but inflexible; they could only move along predetermined paths.
Fast forward to today, and a new generation of Autonomous Mobile Robots (AMRs) has taken off. Instead of relying on tracks or magnetic strips, AMRs use onboard sensors and intelligence to find their own way. Modern mobile robots are equipped with laser scanners (LiDAR), cameras, and powerful computers that allow them to detect obstacles and plan routes in real time.
Simultaneous Localization and Mapping (SLAM) – a method that lets a robot build a map of an unknown environment while simultaneously figuring out its own location within that map.
Thanks to SLAM, a robot can navigate a warehouse or a building without any external guidance, because it continuously updates its map and route as it moves.
In practical terms, this innovation meant robots were no longer confined to tightly controlled spaces. They became mobile, able to work in dynamic, less-structured environments.
This has revolutionized logistics and services, enabling robots to work alongside humans in real-world settings.
One of the first domains to embrace mobile robots was warehousing and fulfillment. E-commerce giants in particular spurred this shift. A landmark moment came in 2012 when Amazon acquired a robotics startup called Kiva Systems, which made little orange warehouse robots.
These Kiva robots (now known as Amazon Robotics mobile drive units) scurry around warehouse floors, carrying shelves of products to human pickers. By doing so, they eliminated the need for workers to walk miles of aisles – instead, the robots bring the goods to the people.
520K+
Robots deployed
1M+
Human partners
50%
Faster processing
75%
More items/sq ft
The impact was enormous: productivity in Amazon's fulfillment centers skyrocketed. In the decade that followed, Amazon deployed hundreds of thousands of these mobile robots across its facilities worldwide. In fact, as of 2022 Amazon had over 520,000 robotic drive units working alongside human employees in their operations.
Other companies followed suit, and warehouse robots became increasingly common. Traditional AGVs evolved with new navigation tech – by the 2020s, navigation is largely dominated by SLAM algorithms rather than fixed paths. This means new robots can be installed in a warehouse without having to modify the building with guidance tracks, making automation much more plug-and-play.
The modern AMR can receive a task (like "take this pallet to dock 5"), plan its own path through the facility, and safely avoid people or obstacles in its way. These robots can adjust on the fly if something is blocking their route, which is a huge advantage in busy, constantly changing workplaces.
Advanced sensors detect and avoid humans, ensuring safe collaboration
AI-powered path planning adapts to changes in real-time
Multiple robots work together, optimizing warehouse efficiency
It's no surprise that demand for AMRs has skyrocketed – in recent years they have outpaced old AGVs in popularity, becoming the go-to solution for flexible material transport in factories and distribution centers. Mobile robots in warehouses handle everything from hauling heavy racks of merchandise to sorting packages. They've effectively brought robotics into the logistics and supply chain world, far beyond the fixed robot arms of the assembly line.
Outside of controlled industrial settings, mobile robots have also started rolling out into our everyday lives. A great example is the rise of delivery robots. These are small, wheeled robots – often shaped like a cooler on wheels – that can drive on sidewalks to bring you things like groceries or takeout orders.
In 2018, a company called Starship Technologies became the first to launch a commercial delivery robot service: their six-wheeled robots began delivering meals and snacks on a corporate campus in Silicon Valley. Since then, similar delivery bots have appeared on college campuses, city sidewalks, and residential neighborhoods around the world.
2018
Starship launches first commercial service
2019
Wing's first drone delivery to customer home
2020
Pandemic accelerates adoption worldwide
2023
100+ cities with robot delivery services
They use cameras, radar, and GPS to navigate, trundling along at a slow pace and politely stopping if a pedestrian or pet crosses their path. Companies and researchers have worked hard to make these sidewalk robots safe and socially acceptable – for instance, many have cute designs and even smiley faces or blinking "eyes" to signal their intentions to humans.
Meanwhile, taking to the skies, drones (autonomous flying robots) have emerged as another form of mobile robot with huge potential. Drone technology matured quickly in the 2010s, and by 2019 the first official drone delivery services were underway. In late 2019, Alphabet's Wing subsidiary made the first-ever commercial drone delivery to a customer's home in the United States, lowering a package by cable into a Virginia backyard.
The expansion of robots into dynamic environments has been enabled by major advances in autonomous navigation technology. At the heart of this is the earlier-mentioned SLAM technique, which is critical for any robot operating in an unknown or changing space.
SLAM lets a robot create a map as it goes while figuring out where it is on that map. In simple terms, the robot uses its sensors (like lasers or cameras) to observe its surroundings and build a virtual map; simultaneously, it keeps track of its own position on that map by dead-reckoning its movements and matching what its sensors currently see with what's already in the map.
360° obstacle detection
Range: 100m
Visual recognition
Range: 50m
Close-range sensing
Range: 5m
Global positioning
Range: Global
This ability to "learn" the environment on the fly is what allows a warehouse robot to be dropped into a new building and immediately start moving around without predefined routes. It's also how a delivery robot can trundle down a sidewalk it's never seen before – it recognizes landmarks (buildings, street signs, etc.), avoids new obstacles, and continuously updates its route.
Beyond SLAM, modern mobile robots rely on a suite of sensors and AI for safe navigation. Safety is paramount: mobile robots are usually programmed to yield to humans and have emergency stop functions. Many delivery robots operate at a walking speed and can climb curbs or small steps, making them versatile in urban terrain. The net result of these technologies is that robots have gained the freedom to work in unstructured environments.
From factory floors to public spaces, the journey of robotics has been one of increasing autonomy and mobility. We've gone from giant, stationary robotic arms trapped in cages to friendly little robots that roam around our world delivering packages, and to autonomous drones zipping through the air.
Mobile and autonomous robots are now cleaning our floors, stocking shelves, patrolling warehouses, and even assisting in hospitals – tasks that require them to navigate around people and ever-changing surroundings. It's an inspiring evolution.
Robots are no longer just behind safety fences doing repetitive factory work; they are steadily becoming part of our daily environment, working alongside us. Each advancement in sensors, navigation, and AI brings them closer to seamlessly integrating into the world at large.
Today
Limited deployments
Warehouses & campuses
Near Future
Widespread adoption
Cities & neighborhoods
Tomorrow
Ubiquitous presence
Everywhere we live & work
And as the technology continues to improve, we can expect to see even more robots leaving the structured factory settings and entering the hustle and bustle of everyday life – truly bringing the power of automation from the factory floor to the wider world.
Vale (one of the world's largest mining companies) showcases robotics in extreme industrial environments. Vale's operations involve heavy machinery and risky conditions, so the company invested in robots to assist with inspection and maintenance tasks in mines.
At Vale's Technological Institute (ITV), engineers developed the "SpeleoRobot", a rugged remote-operated robot with cameras and sensors for exploring dangerous or confined areas underground.
Originally built to map caves
Inspects mine shafts and pipelines
Examines equipment like mills
Accesses areas unsafe for humans
Inspection Missions
15+
Across multiple mining sites in Brazil
International Partnership
NASA
Technology exchange for subterranean robotics challenge
The SpeleoRobot proved useful for inspecting mine shafts, pipelines, and equipment like mills, places that are difficult or unsafe for humans to enter.
Vale has also adopted a state-of-the-art ANYmal quadruped robot (nicknamed "puppy" by Vale) that was tested at a Brazilian iron ore plant.
Reduces human exposure to heavy machinery
Protects workers from noise and dust
Eliminates risks of working at heights
Navigates confined spaces safely
Safety Improvement
Major
Reduced human exposure to hazards
Operating Sites
Multiple
Across Brazilian mining operations
Technology Level
World-class
NASA-level collaboration
By deploying such robots, Vale greatly reduces human exposure to hazards like heavy machinery, noise, dust, and working at heights or in confined spaces, demonstrating how robotics can transform even the most challenging industrial environments.
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