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Automation

3 Ways Robots See the World

Although we are all familiar with the five senses humans use to perceive our surroundings, for robots, these senses look a little different. Robots are rapidly becoming more prevalent in our everyday lives which can take a plethora of forms, from industrial applications, to delivery drones to robotic waiters. No matter what the role, these robots require sensors of all sorts to see the environment around them. The combination of cameras, LiDAR and gas sensors, together play a vital role in informing the robot’s unique perspective.

A New Approach to Predictive Maintenance Challenges

Effective maintenance programs are vital in manufacturing, energy and utilities, and other asset-intensive industries—preventing equipment failures that lead to costly downtime and repairs. Smart organizations have shifted toward predictive maintenance strategies. Instead of periodically checking assets and replacing parts on fixed schedules, companies are now using artificial intelligence (AI) to identify warning signs of impending issues before they cause damage or outages. This approach can help extend asset lifespans, extract the full value of equipment and parts, and avoid unplanned outages.

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.

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.

Teach a Robot Dog New Tricks with the Spot API

Many applications for Spot are centered around the robot's ability to collect frequent, consistent, reliable data. We've been working on tools to help customers use the Spot API to integrate machine learning (ML) into those applications, so they can make the most use of the data collected by the robot. Machine learning algorithms help Spot find and apply patterns in that data. These integrations allow Spot to do things like identify specific objects in its environment and respond based on what it detects.