The multi-target assignment (MTA) problem, a crucial challenge in command control,
mission planning, and a fundamental research focus in military operations, has garnered …

With the aim of revolutionizing various industries, the field of Swarm Robotics (SRs)
continuously offers efficient solutions to complex tasks. This paper provides a …

This paper introduces a novel cross-modal neural network model that aims to convert long-
term temporal behavior data into natural language to achieve UAV intent recognition. Our …

This paper addresses the challenging problem of achieving consensus in multi-agent
systems (MASs) under the simultaneous influence of communication delays and packet loss …

Recently, UAV formations, as a typical instance of aerospace multi-robot systems, have
played an increasingly crucial role in military confrontation due to their extraordinary …

This paper proposes a distributed quantified shape-formation algorithm that incorporates
communication quantification in consensus negotiation during motion control. This algorithm …

The multi-target assignment (MTA) problem, a crucial challenge in command control,
mission planning, and a fundamental research focus in military operations, has garnered …