Deep reinforcement learning (DRL) has been proved to be more suitable than reinforcement
learning for path planning in large-scale scenarios. In order to more effectively complete the …

Motion planning of agents is one of the fundamental research problems in autonomous
systems. An important aspect of motion planning is collision avoidance of the agents with …

Crowd evacuation simulation is an important research topic for designing reasonable
building layout and effective evacuation routes. The reciprocal velocity obstacles (RVO) …

Crowd evacution is a major safety issue in many public places. Efforts have been made to
design the best evacuation plans using simulations and modeling of certain evacuation …

The role of the leader in the self‐organizing crowd has a significant influence on the crowd
evacuation when an emergency occurs. However, current crowd evacuation models either …

Crowd simulation becomes one of the active research over the last three decade. Crowd
simulation research is part of research about human behavior. One of research focus on …

Along with the development of multimedia technology, an overview of the campus
environment for prospective new visitors can be visualized through a 3D virtual environment …

The steering behavior of autonomous agents in animation and games aims to form agent
movement to navigate around a virtual world. Leader-following behavior is a steering …

Crowd evacuation can be a challenging task, especially in emergency situations involving
dynamically moving hazards. Effective obstacle avoidance is crucial for successful crowd …

Leader-following behavior is a behavior in which a number of follower agents are required
to go after the leader. The leader agent is tasked to lead the group to reach their goal. This …