When applied in building rescue, forest search and other missions, UAV swarms often
encounter challenges such as narrow space constraints and dynamic changes of obstacles …

Interactive behavior modeling of multiple agents is an essential challenge in simulation,
especially in scenarios when agents need to avoid collisions and cooperate at the same …

Real time navigation is an important part of the intelligent agent's ability to drive safely in
complex dynamic environments, which consists of prediction and motion planning. However …

In this paper, an autonomous navigation and control method is proposed for an
omnidirectional mobile robot (OMR) based on digital twin (DT). An OMR-based DT system is …

Safe trajectory planning in highly dynamic environments remains a substantial challenge.
Traditional risk-based trajectory planning algorithms solve planning problems in …

Interacting with human agents in complex scenarios presents a significant challenge for
robotic navigation, particularly in environments that necessitate both collision avoidance and …

Path planning for autonomous mobile robots in unknown environments remains a
challenging task, as it requires the ability to collect and process environmental information in …

Integrative Approaches to Behavior Prediction, Generation, and Skill Learning in Autonomous
Systems By Lingfeng Sun A dissertati Page 1 Integrative Approaches to Behavior Prediction …

It is still a challenge to quickly plan a high-quality path that is collision-free and kinematically
feasible in a highly dynamic environment with dense dynamic obstacles. Traditional risk …