From enterprise workflows to autonomous research assistants, multi-agent AI systems are stepping into the spotlight in 2026. With NIST’s new standards initiative and evolving orchestration protocols, ...

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 ...

X-1 robotic system uses humanoids and drones, combining land and air abilities, to tackle rescue missions too dangerous for ...

We just can’t seem to help ourselves. Our current infatuation with multi-agent systems risks mistaking a useful pattern for an inevitable future, just as we once did with microservices. Remember those ...

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 ...

AI is nervy. We know that a certain amount of Artificial Intelligence is somewhat nervy (or perhaps nervous) in its implementation because of concerns over decisioning bias, questions over the ...

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, ...