A team of researchers from the Beijing Institute of Technology is breaking new ground in the field of robotics by unveiling a revolutionary control method inspired by the human arm. This innovative ...

In the shared video, when instructed to bring a can, the Menteebot V3 humanoid first interprets the spoken request, then ...

A new machine-learning technique can efficiently learn to control a robot, leading to better performance with fewer data. Researchers from MIT and Stanford University have devised a new ...

This research has broken through the limitations of traditional rehabilitation robot control methods, which often rely on fixed or variable impedance control with no consideration for the patient's ...

Researchers from Google's Robotics team have open-sourced SayCan, a robot control method that uses a large language model (LLM) to plan a sequence of robotic actions to achieve a user-specified goal.

The new training method doesn't use sensors or onboard control tweaks, but a single camera that watches the robot's movements and uses visual data. When you purchase through links on our site, we may ...

2024 is going to be a huge year for the cross-section of generative AI/large foundational models and robotics. There’s a lot of excitement swirling around the potential for various applications, ...

A key element of a robotics future will be how humans can instruct machines on a real-time basis. But just what kind of instruction is an open question in robotics. New research by Google's DeepMind ...