Standing amid hundreds of people in the rotunda of Chicago's iconic Museum of Science and Industry, Ritika Ghosh (MSR '23) felt her confidence building. Ghosh was teaching people of all ages about a ...

Explore the latest advancements in Artificial Intelligence and robotics, featuring humanoid robots from Unitree Robotics, ...

Embodied learning for object-centric robotic manipulation is a rapidly developing and challenging area in embodied AI. It is ...

Stanford researchers have become the first to demonstrate that machine-learning control can safely guide a robot aboard the ...

Ava Zahedi looks back on how she used machine learning in MSR and how those experiences prepared her for her current work as a robotics and automation software engineer at Kasalis. Recent advances in ...

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

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 ...

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.

When we think about machine learning, our minds often jump to datacenters full of sweating, overheating GPUs. However, lighter-weight hardware can also be used to these ends, as demonstrated by ...

Cassie, a robot developed by OSU researchers, holds the Guinness World Record for the fastest 100-meter dash run by a bipedal robot. Cassie, a robot developed by Oregon State University researchers, ...

Robotic systems that mirror humans both in their appearance and movements, also known as humanoid robots, could be best ...