Ruixuan Wei
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View article: Study on the evolution and collection characteristics of droplet impact on a collector under space conditions
Study on the evolution and collection characteristics of droplet impact on a collector under space conditions Open
View article: UAV Swarm Rounding Strategy Based on Deep Reinforcement Learning Goal Consistency with Multi-Head Soft Attention Algorithm
UAV Swarm Rounding Strategy Based on Deep Reinforcement Learning Goal Consistency with Multi-Head Soft Attention Algorithm Open
Aiming at the problem of target rounding by UAV swarms in complex environments, this paper proposes a goal consistency reinforcement learning approach based on multi-head soft attention (GCMSA). Firstly, in order to make the model closer t…
View article: Research on Real-Time Roundup and Dynamic Allocation Methods for Multi-Dynamic Target Unmanned Aerial Vehicles
Research on Real-Time Roundup and Dynamic Allocation Methods for Multi-Dynamic Target Unmanned Aerial Vehicles Open
When multi-dynamic target UAVs escape, the uncertainty of the formation method and the external environment causes difficulties in rounding them up, so suitable solutions are needed to improve the roundup success rate. However, traditional…
View article: Multi-agents Rounding Strategy based on DeepReinforcement Learning GCMSA Algorithm
Multi-agents Rounding Strategy based on DeepReinforcement Learning GCMSA Algorithm Open
Aiming at the problem of target rounding by multi-agents in complex environ-ments, this paper proposes a Goal Consistency Reinforcement Learning Approachbased on Multi-head Soft Attention(GCMSA). Firstly, in order to make the modelcloser t…
View article: Cognitive Control Architecture for the Practical Realization of UAV Collision Avoidance
Cognitive Control Architecture for the Practical Realization of UAV Collision Avoidance Open
A highly intelligent system often draws lessons from the unique abilities of humans. Current humanlike models, however, mainly focus on biological behavior, and the brain functions of humans are often overlooked. By drawing inspiration fro…
View article: Multi-UAV Roundup Inspired by Hierarchical Cognition Consistency Learning Based on an Interaction Mechanism
Multi-UAV Roundup Inspired by Hierarchical Cognition Consistency Learning Based on an Interaction Mechanism Open
This paper is concerned with the problem of multi-UAV roundup inspired by hierarchical cognition consistency learning based on an interaction mechanism. First, a dynamic communication model is constructed to address the interactions among …
View article: Learning System for Air Combat Decision Inspired by Cognitive Mechanisms of the Brain
Learning System for Air Combat Decision Inspired by Cognitive Mechanisms of the Brain Open
Unmanned aerial vehicles (UAVs) have played an important role in recent high-tech local wars. Seizing air control rights with UAVs will undoubtedly be a popular topic in future military development. Autonomous air combat is complex, antago…
View article: Peers’ Experience Learning for Developmental Robots
Peers’ Experience Learning for Developmental Robots Open
Humans have a fundamental ability that is to learn others' experience for their own use, while humanoid robots don't have. Several attempts have been made for specific situations in evolution and study of developmental robots. However, suc…
View article: Ground Attack Strategy of Cooperative UAVs for Multitargets
Ground Attack Strategy of Cooperative UAVs for Multitargets Open
Humans have a fundamental ability, that is, to share vision among each other to fulfill common goals, which cooperative UAVs do not have. The difficulties mainly lie in the homologous mathematical description of humans and elusive experime…
View article: Unmanned Aerial Vehicle Perception System Following Visual Cognition Invariance Mechanism
Unmanned Aerial Vehicle Perception System Following Visual Cognition Invariance Mechanism Open
Humans have a fundamental ability that is fulfilling visual perception with complex brain functions, while intelligent sensors onboard UAVs do not have. The difficulties mainly lie in the inexhaustive study of brain science and the homolog…
View article: UAV Motion Strategies in Uncertain Dynamic Environments: A Path Planning Method Based on Q-Learning Strategy
UAV Motion Strategies in Uncertain Dynamic Environments: A Path Planning Method Based on Q-Learning Strategy Open
A solution framework for UAV motion strategies in uncertain dynamic environments is constructed in this paper. Considering that the motion states of UAV might be influenced by some dynamic uncertainties, such as control strategies, flight …
View article: Coordinated Standoff Target Tracking Guidance Method for UAVs
Coordinated Standoff Target Tracking Guidance Method for UAVs Open
We need a coordinated control method to continuously track a moving target using a group of UAVs. In this paper, we study the predicted reference point guidance method, where the target is considered to move with a constant velocity in a v…
View article: UAV autonomous collision avoidance approach
UAV autonomous collision avoidance approach Open
The conventional sense-and-avoid collision avoidance mode of UAV (unmaned aerial vehicle) lacks applicability and timeliness in a multi-threat environment. In this paper, a new efficient collision avoidance approach for uncertain threat en…
View article: A new path planning approach based on artificial electric potential energy
A new path planning approach based on artificial electric potential energy Open
Path planning is one of the most fundamental desired autonomous navigation capabilities for aircrafts. A sensible environment modeling method plays a significant role in improving the path planning algorithm, and the electric potential pri…