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

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

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 ...

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 ...

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, ...

While the capabilities of robots have improved significantly over the past decades, they are not always able to reliably and ...

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 ...