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Synaptic transistor can enhance functions for robots, wearable devices

Control Engineering

Led by Cunjiang Yu, Dorothy Quiggle Career Development Associate Professor of Engineering Science and Mechanics and associate professor of biomedical engineering and of materials science and engineering, the team designed the synaptic transistor to be integrated in robots or wearables and use artificial intelligence to optimize functions.

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Cameras give industrial vision-guided robots human-like functions

Control Engineering

Today, VGR technology has grown beyond the programmable transfer machine due to advances in 2D and 3D cameras, visual servo control, embedded Ethernet networks and more sophisticated software including artificial intelligence (AI). – This originally appeared on Control Engineering Europe’s website.

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Video: AI-enabled item-picking robot speeds fulfillment, is easy to integrate

Control Engineering

Learning Objectives Understand the advantages of an integrated robot, artificial intelligence and machine vision package to better enable robotic item picking. AI-enabled robot insights Integrating a robot, artificial intelligence and a machine vision can more quickly enable robotic item picking.

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Manufacturers using digital transformation to future-proof operations

Control Engineering

Leading manufacturers are making the digital transition with help from trusted partners. One is using computer vision and artificial intelligence to empower its workforce, while another empowers its customers with data-rich online content at their fingertips.

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Robots are becoming more flexible and resilient

Control Engineering

Developments in hardware, software and artificial intelligence (AI) are making robots more flexible and resilient and able to perform more tasks in applications they couldnt’t before. Robotics insights.

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Industrial robots powered by AI improve manufacturing

Control Engineering

Robotics AI insights AI-enabled robotics can help robots learn like humans, which could have a massive impact on how traditional manufacturing operates. The combination of artificial intelligence (AI), machine learning (ML), deep learning (DL) and robotics are beginning to transition to industrial manufacturing facilities.

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Assembler robot groups have potential for making larger structures

Control Engineering

Developing this kind of system requires intelligence to be built into the robots themselves so they can operate well as a team. Artificial intelligence (AI) and machine learning (ML) will play a key role in that evolution. When we’re building these structures, you have to build in intelligence,” Gershenfeld said.