An innovative bimanual robot displays tactile sensitivity close to human-level dexterity using AI to inform its actions. An innovative bimanual robot displays tactile sensitivity close to human-level ...

Researchers have introduced an online model-based reinforcement learning algorithm that trains robots directly from real-world interactions, bypassing extensive simulation. The approach builds a ...

This roundup highlights the latest robotics innovations aimed at improving throughput, simplifying deployment and helping ...

Add Futurism (opens in a new tab) More information Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. Two ...

Researchers have developed a control system that helps make humanoid robots better handle tough, real-world tasks. Named FALCON, and developed by a team at Carnegie Mellon University (CMU), it helps ...

If you want to work with robots you can do all sorts of learning with software and simulation, but nothing quite beats getting to grips with real machinery. That was the motivation for [James Gullberg ...

Neuralink’s brain chip, which converts brain signals into Bluetooth-based remote commands, grabbed headlines last year for enabling its first human user to control a laptop and play computer games.

Traditionally, robot arms have been controlled either by joysticks, buttons, or very carefully programmed routines. However, for [Narongporn Laosrisin’s] homebrew build, they decided to go with ...