In 2026, enterprises will be expected to automate processes that involve judgment, negotiation, compliance interpretation, ...

Multi-robot path planning and coordination is an interdisciplinary field that aims to develop robust algorithms enabling multiple robots to navigate complex, dynamic environments efficiently and ...

"Welcome to the world of RDHNet, a groundbreaking approach to multi-agent reinforcement learning (MARL) introduced by Dongzi Wang and colleagues from the College of Computer Science at the National ...

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 ...

Large language models like ChatGPT play an ever-evolving role in the modern business landscape. Your curiosity may have led you to engage two AI models in conversation before, but have you considered ...

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 ...

Chinese robotics player LimX Dynamics has unveiled LimX COSA, an operating system designed for ...

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, ...

Writing a program to control a single autonomous robot navigating an uncertain environment with an erratic communication link is hard enough; write one for multiple robots that may or may not have to ...