Multi-Robot Task Allocation (MRTA) Systems are pivotal in enabling coordinated and efficient operation of robot teams across diverse application domains, from industrial automation to disaster ...

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 ...

ShengShu Technology has unveiled Motubrain, a unified AI model designed to act as a ...

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

Transaction combines leaders in unmanned aircraft systems (UAS) and unmanned ground vehicles (UGV) for broader, integrated mission solutions in air, near-space, ground and maritime domains Acquisition ...

Advances in technology have begun to allow for the production of large groups, or swarms, of robots; however, there exists a large gap between their current capabilities and those of swarms found in ...

Effective task allocation has become a critical challenge for multi-robot systems operating in dynamic environments like search and rescue. Traditional methods, often based on static data and ...

As large models, reliable robotic hardware, and real-world data flywheels converge, embodied AI is rapidly evolving into a new production infrastructure. Building on the industry's shift from ...

Penn’s Sung Robotics Lab is working with NASA to lead an initiative investigating how robots can explore and navigate extraterrestrial environments. The project, titled “Temporarily, Robots Unite to ...

On top of that, spin introduces enormous complexity. A ball rotating at extreme speeds can curve mid-air and rebound ...