Explore how researchers are using quantum computing to enhance the movement of robots, making them more efficient and smooth.

Beijing Institute of Technology researchers unveil a groundbreaking robot control method inspired by the human arm, promising precise and stable space assembly.

The system uses a machine learning technique called attention-based map encoding, trained through reinforcement learning.

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.

Atlas, Boston Dynamics’ dancing humanoid, can now use a single model for walking and grasping—a significant step toward ...

In today's rapidly advancing technological landscape, Gree Electric (000651) has once again garnered attention. According to information from the Tianyancha APP, Gree Electric has recently obtained an ...

Keda Guochuang Hefei Intelligent Vehicle Technology Achieves Important Patent ...

It’s designed to be strong and easy to build, using a minimal number of parts that are all available online, which makes ...

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 ...

Researchers from Google's Robotics team have open-sourced Code-as-Policies (CaP), a robot control method that uses a large language model (LLM) to generate robot-control code that achieves a user ...