Categories: AI/ML News

AI benchmark helps robots plan and complete their chores in the real world

No matter how sophisticated they are, robots can often be indecisive and struggle with multi-step chores in the real world. For example, if you tell a robot to tidy a messy room, it might understand the goal but not know where to grab each object. It could even end up inventing steps. To address these common mistakes, Microsoft and a group of academics have developed an AI benchmark system to improve the accuracy of robot planning. The details of their work are published in a paper on the arXiv preprint server.

Wearable system captures human activity data for robot training

Humanoid robots, robotic systems with a body shape that resembles that of humans, could tackle various chores and everyday manual tasks. To successfully complete these tasks, however, the robots should be able to reliably coordinate their movements, posture and how they touch or grasp different objects.

October 25, 2026

In "AI/ML News"

Engineering household robots to have a little common sense

Engineers aim to give robots a bit of common sense when faced with situations that push them off their trained path, so they can self-correct after missteps and carry on with their chores. The team's method connects robot motion data with the common sense knowledge of large language models, or…

March 26, 2024

In "AI/ML News"

Needle-Moving AI Research Trains Surgical Robots in Simulation

A collaboration between NVIDIA and academic researchers is prepping robots for surgery. ORBIT-Surgical — developed by researchers from the University of Toronto, UC Berkeley, ETH Zurich, Georgia Tech and NVIDIA — is a simulation framework to train robots that could augment the skills of surgical teams while reducing surgeons’ cognitive…

May 16, 2024

In "FAANG"

AI Generated Robotic Content