Categories: AI/ML News

Meta unveils HOT3D dataset for advanced computer vision training

While most humans can innately use their hands to communicate with others or grab and manipulate objects, many existing robotic systems only excel at simple manual tasks. In recent years, computer scientists worldwide have been developing machine learning-based models that can process images of humans completing manual tasks, using acquired information to improve robot manipulation, which could in turn enhance a robot’s interactions with both humans and objects in its surroundings.

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"

Robotic drummer gradually acquires human-like behaviors

Humanoid robots, robots with a human-like body structure, have so far been primarily tested on manual tasks that entail supporting humans in their daily activities, such as carrying objects, collecting samples in hazardous environments, supporting older adults or acting as physical therapy assistants. In contrast, their potential for completing expressive…

August 9, 2025

In "AI/ML News"

A system that allows home robots to cook in collaboration with humans

Home robots could assist humans with the completion of various chores and manual tasks, ranging from washing dishes or doing the laundry to cooking, cleaning and tidying up. While many roboticists and computer scientists have tried to improve the skills of home robots in recent years, many of the robots…

March 16, 2024

In "AI/ML News"

AI Generated Robotic Content