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MIT Schwarzman College of Computing

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Researchers utilize extensive language models to assist robots with navigation.

Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Computer vision, Data, Electrical Engineering & Computer Science (eecs), Machine learning, MIT Schwarzman College of Computing, MIT-IBM Watson AI Lab, Research, Robotics, Robots, School of Engineering, UncategorizedJune 12, 202431Views0Likes0Comments
Researchers from MIT and the MIT-IBM Watson AI Lab have developed a language-based navigational strategy for AI robots. The method uses textual descriptions instead of visual information, effectively simplifying the process of robotic navigation. Visual data traditionally requires significant computational capacity and detailed hand-crafted machine-learning models to function effectively. The researchers' approach involves converting a…

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A new AI model has the potential to enhance procedures in a robot-operated warehouse.

Algorithms, Artificial Intelligence, Civil and environmental engineering, Computer science and technology, IDSS, Laboratory for Information and Decision Systems (LIDS), Machine learning, MIT Schwarzman College of Computing, Research, Robots, School of Engineering, UncategorizedJune 10, 202434Views0Likes0Comments
MIT researchers have developed a deep-learning model to improve the efficiency of warehouse robots. The team used a neural network architecture to encode features including the robots' paths, tasks, and obstacles in the warehouse. This enabled the model to predict where congestion was most likely to occur and take measures to counteract it. The groundbreaking method…

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A new AI model has the potential to improve efficiency in automated warehouse processes.

Algorithms, Artificial Intelligence, Civil and environmental engineering, Computer science and technology, IDSS, Laboratory for Information and Decision Systems (LIDS), Machine learning, MIT Schwarzman College of Computing, Research, Robots, School of Engineering, UncategorizedJune 10, 202433Views0Likes0Comments
MIT researchers have designed an artificial intelligence solution to help robotic warehouses operate more efficiently. Automated warehouses, which employ hundreds of robots to pick and deliver goods, are becoming more commonplace, especially in industries such as e-commerce and automotive production. However, coordinating this robot workforce to avoid collisions, while also maintaining a high operational pace,…

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A fresh AI model has the potential to enhance efficiency in an automated warehouse operation.

Algorithms, Artificial Intelligence, Civil and environmental engineering, Computer science and technology, IDSS, Laboratory for Information and Decision Systems (LIDS), Machine learning, MIT Schwarzman College of Computing, Research, Robots, School of Engineering, UncategorizedJune 9, 202438Views0Likes0Comments
In an enormous robotic warehouse, hundreds of robots zip back and forth, picking up items and delivering them to human workers for packing and shipping. This is becoming an increasingly common scene in various industries, from e-commerce to automotive manufacturing. However, managing these large numbers of robots, ensuring they reach their destinations effectively, and avoiding…

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A new AI model could enhance efficiency in an automated warehouse.

Algorithms, Artificial Intelligence, Civil and environmental engineering, Computer science and technology, IDSS, Laboratory for Information and Decision Systems (LIDS), Machine learning, MIT Schwarzman College of Computing, Research, Robots, School of Engineering, UncategorizedJune 8, 202435Views0Likes0Comments
In the growing field of warehouse automation, managing hundreds of robots zipping through a large warehouse is a logistical challenge. Delivery paths, potential collisions and congestion all pose significant issues, making the task a complex problem that even the best algorithms find hard to manage. To solve this, a team of MIT researchers has developed…

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A new AI model could potentially enhance efficiency in a robotic warehouse.

Algorithms, Artificial Intelligence, Civil and environmental engineering, Computer science and technology, IDSS, Laboratory for Information and Decision Systems (LIDS), Machine learning, MIT Schwarzman College of Computing, Research, Robots, School of Engineering, UncategorizedJune 7, 202430Views0Likes0Comments
In order to improve efficiency in large-scale robotic warehouses, a team of researchers from the Massachusetts Institute of Technology (MIT) have developed a deep learning model which assists in navigating robots to decongest warehouse floors. The way this model works is by splitting the hundreds of robots into smaller, manageable groups which are easier for…

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Using data to make improved decisions.

Abdul Latif Jameel Poverty Action Lab (J-PAL), Algorithms, Artificial Intelligence, Behavior, Behavioral economics, Business and management, Classes and programs, Data, Economics, Electrical Engineering & Computer Science (eecs), Health care, Health sciences and technology, Industry, Leadership, Machine learning, MIT Schwarzman College of Computing, School of Engineering, School of Humanities Arts and Social Sciences, Technology and policy, UncategorizedJune 7, 202438Views0Likes0Comments

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