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robot operating system (ROS)
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Intelligent flying robots are making their way into the Non-Destructive Testing industry. These robots are gaining attention in providing the industry with a safer and superior alternative to traditional methods.
Monthly robotics news blog. Discover the latest innovations, products, research, tutorials, and security news for robotics.
In this episode, we talk about how engineers are tackling the problem of sorting through piles using robotics and a platform that leverages fake data to train robots more efficiently.
This robotic system uses radio frequency signals, computer vision, and complex reasoning to efficiently find items hidden under a pile.
Monthly robotics news blog. Discover the latest products, research, tutorials, and security news for robotics.
Designed using off-the-shelf parts, a low-cost microcontroller, and a 3D-printed chassis, the HeRo 2.0 robot costs just $18 to build — and is at the heart of an effort to open swarm robotics up to a broader audience.
case study
Renault had a project to pick different types of steering knuckles to optimise their production. They came up with a vision solution using VISIO NERF 3D sensor and an ABB robot.
This handbook introduces the concept of bin-picking, and explores its complexity through real-case studies.
At READY we want to engage the landscape of developers outside the robotics industry to be programmers in the robotics industry.
ANU researcher Hanna Kurniawati is helping robots problem solve and care. Her work has not just shaped how AI works every day; it's been recognised with a major global prize. George Booth reports.
Mechanical Engineering Professor Matei Ciocarlie builds robots with intelligent minds—and bodies
case study
A 3D vision system, a combination of 3D cameras and software, has become the de-facto enabler of new robotic applications in this decade.
Cobots when combined with Artificial Intelligence(AI), can effectively work alongside humans in the real world on their daily tasks. With an AI technique called Inverse Reinforcement learning (IRL), the robot can observe a human performing the task and learn how to do it quite intuitively.
What should a robot do when it cannot trust the model it was trained on?
