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 ...

Even in the best of times, strategic planning is a challenge for business leaders. When global uncertainty and volatility rise, the task gets even more difficult—and more integral to business success.

Michael Wegmüller has more than 20 years of experience in AI. He is cofounder of Artifact SA and a widely recognized AI business expert. Multi-agent AI systems (MAS) represent the next step in ...

In a study published in Robot Learning journal, researchers propose a new learning-based path planning framework that allows mobile robots to navigate safely and efficiently using a Transformer model.

Dashboards show what happened, copilots guess why; teams need multi-agent AI analysts that actually explain problems and tell you what to do. When I speak with analytics leaders, one theme always ...

Visual Studio Code 1.109 introduces structured, multi-agent workflows that move AI assistance beyond single-chat interactions. Parallel subagents enable concurrent task execution without consuming the ...

Data teams building AI agents keep running into the same failure mode. Questions that require joining structured data with ...

Individual AI agents can be super reliable, but when grouped together they only appear to work well in concert, producing high failure rates. Chained orchestration may be the answer. Some AI advocates ...