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This White Paper gives robotics researchers and engineers an overview of a new large-scale motion capture dataset built to close the data gap limiting humanoid robot learning. It also shows how policies trained on the dataset transfer to a real humanoid robot. What you will lear…
Read at IEEE Spectrum (opens in a new tab)
This free download looks at evolving technologies, use cases, and the future of automated inventory monitoring.
Read at Automated Warehouse (opens in a new tab)
Sereact Cortex enables robots to sort returns without prior knowledge for CEVA Logistics at Zalando sites in Germany and Poland.
Read at Automated Warehouse (opens in a new tab)
This new method, called “SANDO,” could help disaster-response robots navigate dangerous, unknown environments.
Read at MIT News (opens in a new tab)
Agilink, a spin-off of Chinese robotics giant AgiBot, asked Fu Xianghong, a master of traditional Suzhou embroidery, to train its OmniHand 3 Ultra. The synthetic hand has learned to split silk strands, thread a needle, stretch fabric across a frame, and stitch, following a craft…
Read at New Atlas (opens in a new tab)
Most of the time, assuming nothing’s gone wrong with them, we take our hands so much for granted that it’s easy to forget what remarkable pieces of engineering they are: …read more
Read at Hackaday (opens in a new tab)
Safeworld is building digital humans to make sure robots don't hurt the real ones.
Read at TechCrunch (opens in a new tab)
Professors at the Universidad Carlos III de Madrid (UC3M) and the Universidad Pública de Navarra (UPNA) have developed a soft robotic gripper capable not only of picking up and holding objects but also of manipulating and repositioning what it holds between its fingers without l…
Read at Tech Xplore (opens in a new tab)
Figure has finally taken its humanoid robot out of the lab and tested it across 30 unfamiliar homes. The robot picked up toys, folded towels, and made beds — successfully completing 56% of its attempts. So is 56% impressive… or a failure? In this video, we break down what Figure…
Watch on YouTube (opens in a new tab)
An MIT robot powered by a single layer of living muscle cells swam through a watery maze, following a light held in a researcher’s hand. It is slow, tiny and nowhere near ready for the open ocean, but its thin design could point toward softer, cheaper swimming machines.
Read at New Atlas (opens in a new tab)A practical checklist for interpreting robot demonstrations and comparing task capability, human assistance, operating conditions and sustained use.
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