Categories: AI/ML News

A deep reinforcement learning approach to enhance autonomous robotic grasping and assembly

Semi-autonomous and autonomous robots are being introduced in a growing number of real-world environments, including industrial settings. Industrial robots could speed up the manufacturing of various products by assisting human workers with basic tasks and lightening their workload.

Ant insights lead to robot navigation breakthrough

Have you ever wondered how insects are able to go so far beyond their home and still find their way? The answer to this question is not only relevant to biology but also to making the AI for tiny, autonomous robots. Drone-researchers felt inspired by biological findings on how ants…

July 18, 2024

In "AI/ML News"

Using hierarchical generative models to enhance the motor control of autonomous robots

To best move in their surrounding environment and tackle everyday tasks, robots should be able to perform complex motions, effectively coordinating the movement of individual limbs. Roboticists and computer scientists have thus been trying to develop computational techniques that can artificially replicate the process through which humans plan, execute, and…

December 11, 2023

In "AI/ML News"

New program takes us one step closer to autonomous robots

We've watched the remarkable evolution of robotics over the past decade with models that can walk, talk and make gestures like humans, undertake tasks from moving heavy machinery to delicately manipulating tiny objects, and maintain balance on two or four legs over rough and hostile terrain.

August 18, 2023

In "AI/ML News"

AI Generated Robotic Content