How Amazon's Vulcan Robot Transforms Warehouse Automation

Geopolitical risk, supply chain disruption, increased costs and industry uncertainty make for a challenging environment for manufacturers.

Against this context, companies are turning to tools that automate, make processes more efficient and increase output. 

Advanced warehouse automation, including the use of robots, vehicles and innovative management systems, is one such area.

These technologies help manufacturers to effectively mitigate labour shortages and rising operational costs, while also meeting the accelerating demand for quicker delivery times. 

Historically, warehouse robotics have been constrained by a lack of sensory feedback—machines were equipped with vision but not touch. 

This limitation restricted the technology to more basic tasks like transportation or pick-and-place functions within strictly controlled environments. 

To advance these use cases, Amazon has introduced a robot, known as Vulcan, that uses both sight and tactile feedback. 

Building touch into automation

Vulcan currently works inside Amazon’s fulfilment centres to support staff by picking and storing items with greater care and precision. 

Designed with manufacturing and logistics in mind, it addresses growing industry challenges including worker shortages, rising costs and increasingly short lead times.

Warehouse robots have often relied on visual sensors, allowing them to identify and move items in fixed environments. 

But without a sense of touch, their actions can be clumsy: they struggle with tasks that require human-like sensitivity, such as managing fragile or awkwardly shaped products.

Vulcan changes this. Revealed at Amazon’s Delivering the Future event in Dortmund, Germany, it uses a combination of force sensors, vision systems and machine learning to operate in tight, varied environments.

Aaron Parness, Amazon’s director of applied science, says this new system represents a significant leap forward in robotics:  “It’s not just seeing the world, it’s feeling it, enabling capabilities that were impossible for Amazon robots until now.”

While traditional machines keep following their path even when they hit something, Vulcan can recognise unexpected resistance and adjust its actions. Its design lets it work on both high and low storage shelves, areas that often require humans to stretch or crouch.

Vulcan uses what Amazon calls ‘end of arm tooling’ – a combination of gripping tools and pressure sensors. 

These allow it to shift surrounding items and create room for the one it needs to store or retrieve.

It also has paddle-like arms that grip differently depending on what it’s holding. Built-in conveyor belts move the item from Vulcan’s grip into a storage bin. 

For picking, an arm with a camera and suction cup locates and lifts items with care, using vision to avoid disturbing nearby objects.

Physical AI with learning built in

While many robots are trained only in digital simulations, Vulcan learns from handling real items and adapts based on the results. This process mimics how humans gain experience and physical instinct over time.

The robot’s design draws from multiple technical areas, including stereo vision (two-eyed camera systems for depth perception), physical AI (where a machine reacts to physical inputs like pressure), and machine learning (where systems improve through experience).

Amazon CEO Andy Jassy described the work as a major step forward in a LinkedIn post: “Very cool breakthrough by our physical AI and robotics teams. Vulcan is the first robot that combines sight and touch, and can feel its way through cluttered spaces the way humans do.”

Over time, Vulcan has built a knowledge base about how different objects respond when gripped, dropped or moved. If it encounters an item it can’t handle, it stops and flags a human worker.

Aaron adds: “Vulcan works alongside our employees and the combination is better than either on their own.”

Supporting staff, not replacing them

According to Amazon, Vulcan can handle around 75% of item types in its warehouses. Its working speed is on par with human staff, but its ability to reduce repetitive strain is where it makes a tangible impact. 

The robot is expected to lower the need for physically demanding tasks, such as constant bending or climbing.

This follows a wider trend across Amazon’s operations. Over the past 12 years, the company has added more than 750,000 robots into its network, with them now involved in about 75% of all orders fulfilled.

Instead of replacing people, these systems have created new types of jobs. These include roles like robotics floor monitors and maintenance engineers.

Amazon also runs training schemes to help existing staff move into technical jobs in robotics and maintenance. These programmes aim to grow long-term career options for warehouse workers as automation tools become more common.

Vulcan is now expected to roll out across fulfilment centres in Europe and the US over the next two years. Amazon believes it will improve both output and workplace safety.

“Our vision is to scale this technology across our network, enhancing operational efficiency, improving workplace safety and supporting our employees by reducing physically demanding tasks,” says Aaron.

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