Categories: AI/ML News

Random robots are more reliable

New algorithm encourages robots to move more randomly to collect more diverse data for learning. In tests, robots started with no knowledge and then learned and correctly performed tasks within a single attempt. New model could improve safety and practicality of self-driving cars, delivery drones and more.

Robots with different bodies can now share skills: What intention-based learning changes

Robots are increasingly being used in manufacturing, agriculture and health care. But programming a team of robots to carry out individual tasks raises a question: How can robots learn from other robots if they are built differently? A multi-institutional team including Chongjie Zhang, an associate professor of computer science and…

March 31, 2026

In "AI/ML News"

Robots now grow and repair themselves by consuming parts from other machines

Today's robots are stuck—their bodies are usually closed systems that can neither grow nor self-repair, nor adapt to their environment. Now, scientists at Columbia University have developed robots that can physically "grow," "heal," and improve themselves by integrating material from their environment or from other robots.

July 17, 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