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SQuad: A miniature robot that can walk and climb obstacles

Researchers at Bilkent University in Turkey have recently created a small quadruped robot called SQuad, which is made of soft structural materials. This unique robot, presented in a paper published in IEEE Robotics and Automation Letters, is more flexible than existing miniature robots and is thus better at climbing or circumventing obstacles in its surroundings.

An algorithm to enhance the robotic assembly of customized products

Robots could soon assist humans in a variety of fields, including in manufacturing and industrial settings. A robotic system that can automatically assemble customized products may be particularly desirable for manufacturers, as it could significantly decrease the time and effort necessary to produce a variety of products.

Brain Corp Raises $36 Million to Meet Growing Demand for Autonomous Robots

Brain Corp, an AI company creating transformative core technology in the robotics industry, today announced it has raised $36 million in Series D funding to help meet the growing demand for autonomous mobile robots (AMRs) now on the front lines of the COVID-19 health crisis.

Deep reinforcement learning: Teaching robots like children

When children play with toys, they learn about the world around them—and today's robots aren't all that different. At UC Berkeley's Robot Learning Lab, groups of robots are working to master the same kinds of tasks that kids do: placing wood blocks in the correct slot of a shape-sorting cube, connecting one plastic Lego brick to another, attaching stray parts to a toy airplane.

Bio-inspired algorithms to produce collaborative behaviors for robot teams

Researchers at the University of Surrey have recently developed self-organizing algorithms inspired by biological morphogenesis that can generate formations for multi-robot teams, adapting to the environment they are moving in. Their recent study, featured in IEEE Transactions on Cognitive and Developmental Systems, was partly funded by the European Commission's FP7 program.

Robots are playing many roles in the COVID-19 crisis—and offering lessons for future disasters

A cylindrical robot rolls into a treatment room to allow health care workers to remotely take temperatures and measure blood pressure and oxygen saturation from patients hooked up to a ventilator. Another robot that looks like a pair of large fluorescent lights rotated vertically travels throughout a hospital disinfecting with ultraviolet light. Meanwhile a cart-like robot brings food to people quarantined in a 16-story hotel. Outside, quadcopter drones ferry test samples to laboratories and watch for violations of stay-at-home restrictions.

GANs in computer vision – Improved training with Wasserstein distance, game theory control and progressively growing schemes

The third article-series of GAN in computer vision - we encounter some of the most advanced training concepts such as Wasserstein distance, adopt a game theory aspect in the training of GAN, and study the incremental/progressive generative training to reach a megapixel resolution.

This is PATRICK: Meet the brittle star-inspired robot that can crawl underwater

Researchers at Carnegie Mellon University have recently created PATRICK, an untethered soft robot that artificially replicates the structure and behavior of the brittle star, a marine invertebrate closely related to starfish. This unique bio-inspired robot, presented in a paper pre-published on arXiv, can crawl underwater using five legs actuated by shape-memory alloy (SMA) wires.
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