QUT robotics researchers have developed a new robot navigation system that mimics the neural processes of the human brain and ...

In our new study, we turned to the human brain to help us create a new, energy-efficient visual place recognition system. Our system uses a brain-inspired technology called neuromorphic computing.

Robots are increasingly becoming a part of our lives—from warehouse automation to robotic vacuum cleaners. And just like humans, robots need to know where they are to reliably navigate from A to B.

Scientists at the University of Amsterdam discovered that our brains automatically understand how we can move through ...

Jun 19, 2025 Seeing through a new LENS allows brain-like navigation in robots A new robot navigation system mimics neural processes of the human brain and uses less than 10 per cent of the energy ...

Our research on “brain-inspired” computing, published today in Science Robotics, could make navigational robots of the future more energy efficient than previously imagined.

This development from Fuzhou University in China can potentially improve robotic vision and autonomous vehicle safety.

The ultimate goal of the robot, which unlike a human carer will never lose its temper, is to comprehend users' intentions, and generalize its capability to deal with complex scenarios.

The system contains a sensor, chip and tiny AI model inspired by biological eyes and brains and uses a tenth of the energy of a camera-based system.

In blinding bright light or pitch-black dark, our eyes can adjust to extreme lighting conditions within a few minutes. The human vision system, including the eyes, neurons, and brain, can also learn ...