Aerospace and Mechanical Insider on MSN

Multi-agent reinforcement learning driving smart factory agility

At the core of Industry 4.0, the smart factory integrates automation, mass customization, and self-organization into a highly ...
Aerospace and Mechanical Insider on MSN

Hierarchical reinforcement learning boosts air defense efficiency

Modern air defense confrontations demand rapid, precise task assignments in environments where threats evolve within seconds.
Nature

Reinforcement learning of adaptive control strategies

Actions that are shared across tasks are usually easy to implement, while task-specific actions require more reconfiguration. Imagine two tasks, doing the laundry and packing luggage. Some actions are ...
Nature

Hierarchical reinforcement learning-based traffic signal control

Traffic congestion in urban areas is on a continual rise, emphasizing the critical need for efficient traffic management systems 1,2. The effective management of traffic congestion offers a multitude ...
Frontiers

Safety Critical Intelligent Control of Systems with Uncertain Dynamical Models

Intelligent control has become a cornerstone of modern robotics and autonomous systems, where agents must operate safely and reliably despite uncertainty in ...
The Robot Report

We know how to build smarter robots. Now, we need to learn smarter ways to test them

Atharv Kolhar, a staff test automation engineer at Figure AI, says the robotics industry needs a testing philosophy that scales alongside autonomy.