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This report explains how vision-driven multi-arm robots let factories switch tasks via software, not hardware rebuilds.

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ORGANIZATIONS.

SHAPING THE INDUSTRY.

Photoneo

Industrial Automation

Photoneo develops industrial 3D vision, robotic intelligence software, and AI-powered automation solutions.

54 Posts

Harvard University

University

At the Harvard John A. Paulson School of Engineering and Applied Sciences (...

42 Posts

READY Robotics

Robotics & Automation

READY Robotics is a robotics software company that vastly simplifies robot ...

24 Posts

Avestec Technologies

Automation Machinery Manufacturing

We are a company in flying robotics, specializing in Non-destructive inspec...

23 Posts

Particle

Internet of Things

The leading Integrated IoT Platform – everything you need to power an IoT p...

16 Posts

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ETH researchers led by Marco Hutter developed a new control approach that enables a legged robot, called ANYmal, to move quickly and robustly over difficult terrain. Thanks to machine learning, the robot can combine its visual perception of the environment with its sense of touch for the first time.

How robots learn to hike

INGENERSUN, S.L. developed an advanced solution for automated unloading of tires, which was performed manually before. The solution consists of a FANUC robot, 3D vision and bin picking system from Photoneo, software from Bcnvision, and other components.

Robotic depalletization of tires

Removing litter from oceans and seas is a costly and time-consuming process. As part of a European cooperative project, a team at the Technical University of Munich (TUM) is developing a robotic system that uses machine learning methods to locate and collect waste under water.

Robots collect underwater litter