Robots and autonomous vehicles can use 3D point clouds from LiDAR sensors and camera images to perform 3D object detection. However, current techniques that combine both types of data struggle to ...

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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 ...

Event-based cameras and real-time motion analysis are redefining robot vision, tackling assembly challenges that traditional ...

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

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

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 ...

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.