Robotics

New filter enhances robot vision on 6-D pose estimation

Robots are good at making identical repetitive movements, such as a simple task on an assembly line. (Pick up a cup. Turn it over. Put it down.) But they lack the ability to perceive objects as they move through an environment. ...

Robotics

Algorithm quickly finds hidden objects in dense point clouds

A new MIT-developed technique enables robots to quickly identify objects hidden in a three-dimensional cloud of data, reminiscent of how some people can make sense of a densely patterned "Magic Eye" image if they observe ...

Computer Sciences

Researchers see around corners to detect object shapes

Computer vision researchers have demonstrated they can use special light sources and sensors to see around corners or through gauzy filters, enabling them to reconstruct the shapes of unseen objects.

Robotics

PoseRBPF: A new particle filter for 6D object pose tracking

Researchers at NVIDIA, University of Washington, Stanford University, and University of Illinois Urbana-Champaign have recently developed a Rao-Blackwellized particle filter for 6-D pose tracking, called PoseRBPF. The approach ...

Computer Sciences

New framework improves performance of deep neural networks

North Carolina State University researchers have developed a new framework for building deep neural networks via grammar-guided network generators. In experimental testing, the new networks—called AOGNets—have outperformed ...

Hardware

LG will smarten home appliances with eyes and ears

LG has made news headlines recently because now it has its own artificial intelligence chip. LG is out to impress with its own chip for smart home products—to make them even smarter.

Robotics

Making a case for robotic objects as anger outlets

Coochi coo. Robots have undergone impressive designs and engineering for social use, manifested in puppy-like robots with expressive, blinking eyes, to little space robots. These little pals and helpers appeal to the home-confined ...

Robotics

Giving robots a better feel for object manipulation

A new learning system developed by MIT researchers improves robots' abilities to mold materials into target shapes and make predictions about interacting with solid objects and liquids. The system, known as a learning-based ...

Computer Sciences

Teaching machines to reason about what they see

A child who has never seen a pink elephant can still describe one—unlike a computer. "The computer learns from data," says Jiajun Wu, a Ph.D. student at MIT. "The ability to generalize and recognize something you've never ...

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