Quantum computing just got a significant boost thanks to researchers at the University of Osaka, who developed a much more efficient way to create "magic states"—a key component for fault-tolerant quantum computers. By pioneering a low-level, or "level-zero," distillation method, they dramatically reduced the number of qubits and computational resources needed, overcoming one of the biggest obstacles: quantum noise. This innovation could accelerate the arrival of powerful quantum machines capable of revolutionizing industries from finance to biotech.

Laser trackers help improve precision and reduce operational costs of industrial robots, new research from the University of Nottingham says.

Although there are structural similarities between humanoid robot joints and collaborative robot joints, there are still many differentiated requirements that pose higher performance demands.

Research into humanoid robots is a rapidly advancing field, with companies around the world striving to produce robots that look and act more like us. But what is it about recreating ourselves in robot form that we find so captivating? Why do humanoid robots both enthral and terrify us? And is our obsession with robotic humans just vanity, or could they play valuable roles in our future society?

In this special live recording at Imperial College London as part of the Great Exhibition Road Festival, Claire chatted to Ben Russell (Science Museum), Maryam Banitalebi Dehkordi (University of Hertfordshire) and Petar Kormushev (Imperial College London) about humanoid robotics.

Ben Russell has been the Science Museum’s Curator of Mechanical Engineering since 2004. He has curated six permanent galleries and temporary exhibitions at the museum, including Engineers (2023), Robots (2017), Cosmonauts (2015) and James Watt’s Workshop (2011). He is the author of James Watt: Making the World Anew, (Reaktion Books, 2014), and editor of Robots (Scala, 2017), as well as numerous published and conference papers.

Maryam Banitalebi Dehkordi is a Senior Lecturer in Robotics and AI at the University of Hertfordshire. She has a master’s degree in Mechatronics and Automatic Control Engineering from the University Technology Malaysia and a Ph.D. in Perceptual Robotics from Scuola Superiore Sant’Anna in Italy. Her expertise spans assistive robots, mobile robots, agricultural robots, industrial robots, humanoid robots, parallel manipulators, navigation, and outdoor autonomous vehicles.

Petar Kormushev is Director of the Robot Intelligence Lab at Imperial College London and an Associate Professor in Robotics at the Dyson School of Design Engineering. His research focus is on reinforcement learning algorithms and their application to autonomous robots. Petar’s long-term goal is to create robots that can learn by themselves and adapt to dynamic environments. His machine learning algorithms have been applied to a variety of humanoid robots, including COMAN and iCub.

Research into humanoid robots is a rapidly advancing field, with companies around the world striving to produce robots that look and act more like us. But what is it about recreating ourselves in robot form that we find so captivating? Why do humanoid robots both enthral and terrify us? And is our obsession with robotic humans just vanity, or could they play valuable roles in our future society?

In this special live recording at Imperial College London as part of the Great Exhibition Road Festival, Claire chatted to Ben Russell (Science Museum), Maryam Banitalebi Dehkordi (University of Hertfordshire) and Petar Kormushev (Imperial College London) about humanoid robotics.

Ben Russell has been the Science Museum’s Curator of Mechanical Engineering since 2004. He has curated six permanent galleries and temporary exhibitions at the museum, including Engineers (2023), Robots (2017), Cosmonauts (2015) and James Watt’s Workshop (2011). He is the author of James Watt: Making the World Anew, (Reaktion Books, 2014), and editor of Robots (Scala, 2017), as well as numerous published and conference papers.

Maryam Banitalebi Dehkordi is a Senior Lecturer in Robotics and AI at the University of Hertfordshire. She has a master’s degree in Mechatronics and Automatic Control Engineering from the University Technology Malaysia and a Ph.D. in Perceptual Robotics from Scuola Superiore Sant’Anna in Italy. Her expertise spans assistive robots, mobile robots, agricultural robots, industrial robots, humanoid robots, parallel manipulators, navigation, and outdoor autonomous vehicles.

Petar Kormushev is Director of the Robot Intelligence Lab at Imperial College London and an Associate Professor in Robotics at the Dyson School of Design Engineering. His research focus is on reinforcement learning algorithms and their application to autonomous robots. Petar’s long-term goal is to create robots that can learn by themselves and adapt to dynamic environments. His machine learning algorithms have been applied to a variety of humanoid robots, including COMAN and iCub.

Imagine you are in a vast library with no catalog, typing random words into a search bar and hoping to stumble upon the exact book you need. That has been the reality for many roboticists trying to find the right ROS (Robot Operating System) package. With over 7,500 options available, keyword searches often return irrelevant results, wasting developers' precious time and energy.

Robots are increasingly becoming a part of our lives—from warehouse automation to robotic vacuum cleaners. And just like humans, robots need to know where they are to reliably navigate from A to B.

Micro-robots that can inspect water pipes, diagnose cracks and fix them autonomously—reducing leaks and avoiding expensive excavation work—have been developed by a team of engineers led by the University of Sheffield.

Imagine supercomputers that think with light instead of electricity. That s the breakthrough two European research teams have made, demonstrating how intense laser pulses through ultra-thin glass fibers can perform AI-like computations thousands of times faster than traditional electronics. Their system doesn t just break speed records it achieves near state-of-the-art results in tasks like image recognition, all in under a trillionth of a second.

Quality is often viewed as a direct driver of customer satisfaction and operational efficiency in manufacturing. Yet some organizations fail to recognize the hidden costs of quality issues, significantly impacting the bottom line.

EPFL researchers have developed a customizable soft robotic system that uses compressed air to produce shape changes, vibrations, and other haptic, or tactile, feedback in a variety of configurations. The device holds significant promise for applications in virtual reality, physical therapy, and rehabilitation.

Recent advances in the field of robotics have enabled the automation of various real-world tasks, ranging from the manufacturing or packaging of goods in many industry settings to the precise execution of minimally invasive surgical procedures. Robots could also be helpful for inspecting infrastructure and environments that are hazardous or difficult for humans to access, such as tunnels, dams, pipelines, railways and power plants.

AI researchers in Switzerland have found a way to dramatically cut cement s carbon footprint by redesigning its recipe. Their system simulates thousands of ingredient combinations, pinpointing those that keep cement strong while emitting far less CO2 all in seconds.

Modern supply chains are extremely complex, intricate, and expansive, comprising many parties (like brokers, shippers, and warehouses) that must communicate and operate in a timely and organized manner. Like any ecosystem, one small disruption can affect the larger environment in […]

The post Why AI-Driven Logistics and Supply Chains Need Resilient, Always-On Networks appeared first on TechSpective.

The Italian Institute of Technology (IIT) has reached a milestone in humanoid robotics by demonstrating the first flight of iRonCub3, the world's first jet-powered flying humanoid robot specifically designed to operate in real-world environments.