Boston Dynamics Pins Warehouse Robots on Injury-Prone Tasks

Repetitive, heavy lifting — not dramatic danger — is the warehouse job workers hate most, and Brian Donnelly, vice president and general manager of logistics robotics at Boston Dynamics, is building robots to take those tasks off human hands. His company is pushing its Stretch and Atlas machines into global logistics operations, and Donnelly personally led Atlas's transition from a research prototype to what the company calls a platform designed for "superhuman capability."

Donnelly's insight came from a factory floor. Visiting a manufacturing plant with huge aluminum brazing ovens, flames licking out of their sides and a worker loading them manually, he assumed he was looking at the most hated job in the building. His host corrected him.

"While it's hot, it's not the job people most hate — it's repetitive, heavy lifting tasks where they get injured," Donnelly recalled the host saying. Keeping people safe and out of harm's way, he said, remains the primary design objective for robots aimed at jobs human workers do not want.

Is the humanoid hype justified for warehouses?

Plenty of companies are jumping into the humanoid race right now, which Donnelly called a good thing — with a caveat. "Finding the exact applications where humanoids deliver real-world value takes time," he said.

Boston Dynamics has been here before. When it launched Spot as a general-purpose platform, it took the company considerable time to figure out what the robot did best. Only by working closely with customers did it "iterate" Spot into the reliable inspection robot it is today.

The company is copying that playbook with Atlas. It will partner with a small group of innovative customers first, before expanding into other industries. Atlas's first assignment will be part sequencing — a logistics support task enabling high-speed production in facilities such as car plants. Donnelly envisions a future in which multiple types of specialized and general-purpose robots work together seamlessly within a single warehouse.

Which warehouse problems remain unsolved?

Companies want to move employees into higher-value roles and hand the repetitive, injury-prone work to machines. Two problems stand out as genuinely difficult and unsolved: case-pick and each-pick. Both involve complex manipulation challenges and dynamic workflows, and both are areas where Boston Dynamics is investing today to deliver complete solutions later.

Donnelly's path to warehouse robotics ran through semiconductors and biotech. He spent nearly 20 years in leadership roles at chipmaker Analog Devices before leading product management and engineering at a Covid testing and vaccination startup. He holds a B.S. in electrical and computer engineering from Worcester Polytechnic Institute.

What separates automation winners from laggards?

The biggest differentiator, Donnelly argued, isn't the technology at all. "It's the speed and mindset of deployment," he said.

Many operations take a wait-and-see approach: one robot in year one, twelve months of monitoring, two or three more units in year two, and only then — in year three or four — the first serious thoughts about scaling. That slow-drip cadence, he warned, works against adopters in the current supply chain environment, because it delays the compounding efficiencies automation is supposed to deliver.

For warehouses weighing robotics investments, the message from one of the industry's most closely watched developers is direct: the injury-prone picking and lifting tasks are the ripest targets, humanoids will earn their place one application at a time, and the payoff will go to operators who commit to deployment speed rather than pilot-by-pilot caution.