Meet the new Boston Dynamics ‘Stretch’ robot: a mobile arm designed for box movement.



Original Source Here

Source: Boston Dynamics website

Meet the new Boston Dynamics ‘Stretch’ robot: a mobile arm designed for box movement.

The newest member of the Boston Dynamics family has a vacuum-powered grabber and a plethora of sensors.

Boston Dynamics has a talent for making its robots seem human-like, at least in their online videos.

We have all seen its robotic dog Spot progress from a shaky early prototype to a polished commercial product. Also, the company’s headless, humanoid Atlas robot can now perform parkour and backflips.

Recently, the company was demonstrating how its Spot robotic dog can now operate entirely autonomously in remote or dangerous locations such as off-shore drilling rigs.

They announced a new bot that is not as flashy as its charismatic siblings — but it is convenient.
Stretch is a product used to move boxes and other objects in warehouses and other industrial settings.

How does the Stretch Robot work?

Stretch is similar to the articulated robotic arms we are used to seeing in factories. The Boston Dynamics bot, on the other hand, has a wheeled base that allows it to move around its surroundings freely.

The video demonstration demonstrates how beneficial this type of mobility can be.

Stretch can move the roller belt into place on its own when it comes time to unload a truck full of boxes, then start unloading and sending the boxes down the line without the need for human intervention.

The articulated arm has seven degrees of freedom (DoF), which means it can move in all directions, including pitch, yaw, and roll.

Boston Dynamics has used a suction-powered “smart gripper” at the end of the arm to pick up boxes and other objects weighing up to 50 pounds. The gripper’s pressure and optical sensors allow it to evaluate whatever object it holds for the best grip.

Stretch perceives the world through computer vision systems, which enable it to identify the boxes without requiring the customer to train the bot to identify the specific boxes that will be moved.

It can turn completely in place without having to bob around, back up, or perform complex maneuvers to change orientations.

A huge business opportunity

According to the company, this is its first incursion into robots specifically designed for more than 150,000 commercial warehouses and distribution centers worldwide.

If you own a large factory and want a Stretch to do some loading and unloading for you, Boston Dynamics plans to begin selling them in 2022.

One more thing

If you want to read more about AI, Robotics and Coding, the following articles can be interesting to you:

References

  1. Stretch™ Mobile, automated case handling for more efficient warehouse operations — https://www.bostondynamics.com/stretch

AI/ML

Trending AI/ML Article Identified & Digested via Granola by Ramsey Elbasheer; a Machine-Driven RSS Bot



via WordPress https://ramseyelbasheer.io/2021/04/01/meet-the-new-boston-dynamics-stretch-robot-a-mobile-arm-designed-for-box-movement/

Popular posts from this blog

Fully Explained DBScan Clustering Algorithm with Python

Image
Original Source Here Fully Explained DBScan Clustering Algorithm with Python Unsupervised learning in machine learning on density-based clusters Clustering In unsupervised Learning. A photo by Author In this article, we will discuss the machine learning clustering-based algorithm that is the DBScan cluster. The approach in this cluster algorithm is density-based than another distance-based approach. The other cluster which is distance-based looks for closeness in data points but also misclassifies if the point belongs to another class. So, density-based clustering is suited in this kind of scenario. The cluster algorithms come in unsupervised learning in which we don’t rely on target variables to make clusters. In a cluster, the main concern is on maximum dense connected points. The density-based clustering can be useful in arbitrary shapes even with noise. The working function of the density-based cluster is shown below: We select a random data point. Then it will ...
Read more

Streamlit — Deploy your app in just a few minutes

Image
Original Source Here Streamlit is an open-source Python library that makes it easy to create and share beautiful, custom web apps for machine learning and data… Continue reading on Medium » AI/ML Trending AI/ML Article Identified & Digested via Granola by Ramsey Elbasheer; a Machine-Driven RSS Bot via WordPress https://ramseyelbasheer.io/2021/07/11/streamlit%e2%80%8a-%e2%80%8adeploy-your-app-in-just-a-few-minutes/
Read more

Hierarchical clustering explained

Image
Original Source Here Interpretation of dendrogram Each level of dendrogram has a subtle meaning to the relationship between its data members. In a regular relationship chart, one may interpret that at the top lies grandparents or the first generation, the next level corresponds to parents or second generation and the final level belongs to children or third generation. Likewise, in every branching procedure of dendrogram, all the data points having the membership at each level belongs to a certain class. However, to infer this class entity, one has to go through a few individual samples of each level within the formulated cluster and find out what feature is common in the resulting cluster. Also, these inferred classes need not be similar at the sister branches. For example, in level 2, the cats have been clustered on big ears and calm behavior but dogs have been clustered on a similar attribute of size. Inferred classes of data in dendrogram by the user (Image by Author) C...
Read more