Robots' maps of their environments can make existing object-recognition algorithms more accurate.

To help humans to complete everyday manual tasks, robots should be able to reliably manipulate everyday objects that vary in shape, texture and size. Many conventional approaches to enable robotic ...

As the robot lifts an object, the researchers’ system gathers signals from the robot’s joint encoders, which are sensors that detect the rotational position and speed of its joints during ...

At the ADAS and Autonomous Vehicle Technology Summit North America, ROVR, a leading DePIN building the foundation of Spatial ...

Researchers designed a new object-detection algorithm allowing robots to remember the locations of items they 'see.' ...

Robots in warehouses and even around our houses struggle to identify and pick up objects if they are too close together, or if a space is cluttered. This is because robots lack what psychologists ...

A new 3D measurement technique can detect objects with reflective or light-absorbing surfaces spatially and reliably for the first time.

Robots can then extrapolate, say, the physics model of an Omnipush object with uneven mass distribution to any real-world object with similar uneven weight distributions.