Boston Dynamics Team

Boston Dynamics' team of engineers and scientists combine advanced analytical thinking with bold engineering and boots-in-the-mud practicality.

Unlock the Data that Matters Most

As a quadruped robot, Spot can operate virtually anywhere a person can—going up and down stairs, indoors or outdoors, and through cramped or confined spaces. While this mobility can be impressive on its own, its real value is in automating sensing and inspection in areas inaccessible with wheeled or tracked robots and drones. You can send Spot into areas designed for people, that are unstructured, or even hazardous, to collect the data you need to understand what's going on in your facility or at your jobsite.

Break Through Supply Chain Blocks with Automated Container Unloading

Customers finding bare spots on grocery store shelves or waiting months instead of weeks for a furniture delivery are feeling the ripple effects of supply chain disruptions—with more shortages and delays anticipated as the holiday season approaches.

Much of the merchandise is out there, stalled in cargo ports loaded with shipping containers at unprecedented volumes. Labor shortages have slowed the pace of unloading containers and warehouses to a crawl, and ports on both U.S. coasts have required ships to idle at sea for days until space opens up in the yards. Those delays are straining the supply of cargo containers at a time when demand for goods is hardly slowing down—rather, U.S. imports are projected to rise through the end of the year.  

What is Dynamic Sensing?

Artificial intelligence is changing the way businesses operate. AI systems demand a continuous flow of repeatable data that’s difficult to collect on physical sites. Today, the health of equipment in facilities is monitored through a mix of fixed sensors and operator rounds. These sensors are limited in perspective, expensive to scale, and can’t adapt to changes. Companies make up the data deficit by spending human resources on tedious data collection. But people are too inconsistent at data collection and too valuable to be feeding an AI system all day. Instead, they should be at the top of the value chain turning data-driven insights into action.

3 Benefits of Continuous Data

Artificial Intelligence (AI) is rapidly becoming a routine aspect of business operations. A recent survey from Deloitte found 34% of respondents had already begun implementing AI systems to support intelligent automation, while 52% plan to implement these systems in the next three years. But implementing and operationalizing AI is often easier said than done, especially without continuous, reliable data about your operations.

Spot Release 3.0: Flexible autonomy and repeatable data capture

Artificial intelligence is changing how businesses operate, furthering applications from enterprise asset management to construction site tracking and everything in between. AI systems depend on data, but reliable, repeatable data is hard to collect in busy, remote, or hazardous work sites. Spot solves this problem by acting as a dynamic sensor, collecting data where and when it’s needed, freeing operators from tedious data collection and enabling companies to accelerate their digital transformations.

From Margaritas to Mars: An Interview on Spot’s Custom Payloads

Spot is more than a mobile robot; it’s a mobile sensing platform that developers can customize with software, sensors, and other hardware payloads to achieve exactly what they need for specific applications. Whether it’s building the tools to explore other planets or to inspect worksites, the ability to easily build on Spot’s base functionality has huge real-world value. 

This flexibility also opens up opportunities for more creative applications. For example, Spot has a storied history with alcoholic beverages, from inspecting breweries to doing other activities with beer. But before all that, there was Margarita Spot: an internal project developing a Spot payload that blends the perfect margarita.

Spot’s Year in the Real World

It’s been a little over a year since Spot graduated from our early adopter program and was released for sale. Our early adopters helped us answer the question, “Can robots handle the real world?” Our customers’ experience with Spot over the past year has answered a follow up question, “Where is Spot adding value?

Why Warehouse Automation Needs Purpose-Built Computer Vision

On the surface, automated depalletizing looks relatively straightforward. A computer vision system identifies a box and then a robotic arm with a gripper lifts the box off a pallet and onto a conveyor belt. However, solving carton location and path planning to successfully unpack a pallet requires highly advanced perception and intelligent vision processing algorithms.

How Flexibility Simplifies Warehouse Automation

Over the past year, COVID-19 has put a huge strain on warehouse operations—making hiring and staffing a challenge, while simultaneously accelerating the demand for fast, effective e-commerce services. Even as social distancing restrictions lift, e-commerce adoption rates continue to rise dramatically, highlighting the need for ongoing solutions to fulfillment, shipping, and delivery challenges. The warehousing industry is primed for an automation boom to support this new landscape.

How Mobile Robots Improve Industrial Safety

According to a recent survey from McKinsey, automation transformation is a priority for 88 percent of respondents in heavy industry, but under 5 percent have actually seen significant bottom-line improvements from these projects. Automation is nothing new for industrial and manufacturing companies hoping to improve efficiency, safety and reliability. So why aren’t they seeing better ROI on these new initiatives?