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 ...

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 ...

To effectively tackle a variety of real-world tasks, robots should be able to reliably grasp objects of different shapes, textures and sizes, without dropping them in undesired locations. Conventional ...

Laurentian University says its commitment to innovation and hands-on learning was on full display last month as two ...

Robotic vision has come a long way, reaching a level of sophistication with applications in complex and demanding tasks, such as autonomous driving and object manipulation. However, it still struggles ...

New research led by the University of Cambridge, in collaboration with Hong Kong University of Science and Technology (GZ) ...

Robotic vision is already pretty good, assuming that it's being used within the narrow bounds of the application for which it's been designed. That's fine for machines that perform a specific movement ...

Breakthroughs, discoveries, and DIY tips sent every weekday. Terms of Service and Privacy Policy. Researchers at Canada’s University of Waterloo have unveiled a new ...

Picking up a glass or wiping a transparent surface is really confusing for most robots. Our team tests, rates, and reviews more than 1,500 products each year to help you make better buying decisions ...