Robotic shepherding and multi-agent systems represent a frontier in the field of autonomous control, where bio‐inspired methodologies and advanced algorithms converge to direct groups of agents in a ...

Swarm finance is set to transform financial infrastructure through decentralized, adaptive agent systems that enhance ...

A Chinese robotics company claims to have a breakthrough in multi-humanoid robot collaboration. UBTech achieved the world’s first successful deployment of multiple humanoid robots working together ...

Enterprises are likely to shift from single-task AI to multi-agent systems, enabling autonomous, adaptive operations, but trust and orchestration remain problematic.

When I first started working with multi-agent collaboration (MAC) systems, they felt like something out of science fiction. It’s a group of autonomous digital entities that negotiate, share context, ...

Elon Musk has praised the Unitree G1, a Chinese humanoid robot seen as a rival to Tesla's Optimus, after it performed as ...

How event-driven design can overcome the challenges of coordinating multiple AI agents to create scalable and efficient reasoning systems. While large language models are useful for chatbots, Q&A ...

Multi-agent AI systems (such as drone swarms or robotic teams) normally rely on constant wireless communication. However, in environments like wildfires or disaster zones, their signals can be lost or ...