If you are interested in learning more about training robots using machine learning techniques and technologies you might be interested in a new Arduino project to ascertain whether a basic robot ...

Through artificial intelligence, machine learning and robotics, Case School of Engineering’s researchers are developing technologies for smart cities, smart manufacturing, smart homes, smart ...

Embodied artificial intelligence (AI) systems are robotic agents that rely on machine learning algorithms to sense their ...

Biological neural networks are immensely complex systems underlying all aspects of cognition and behavior. Despite significant advances in neuroscience, a ...

This course will be a practical introduction to robotic sensing, navigation and machine learning techniques in robotics. The course focuses on bridging the gap between theoretical developments, ...

The Individual Cup Control Gripper (ICC Gripper) leverages the intelligence of Plus One's PickOne vision software to grasp and singulate parcels using the optimal configuration of active suction cups.

(Nanowerk News) While science fiction movies depict robots moving freely on their own, sometimes running to avoid perilous explosions or collapsing buildings, today’s technology doesn’t have that ...

New AI-powered farming machines trained on the PyTorch framework are being developed to help farmers produce more food with fewer resources. Blue River Technology is using the PyTorch machine-learning ...

A robot, trained for the first time by watching videos of seasoned surgeons, executed the same surgical procedures as skillfully as the human doctors. The successful use of imitation learning to train ...

A robot trained by machine learning that imitates a human demonstrator can successfully peel a banana without smashing it to smithereens. Handling soft fruit is a challenge for robots, which often ...

This course will be a practical introduction to robotic sensing, navigation and machine learning techniques in robotics. The course focuses on bridging the gap between theoretical developments, ...