Crowd simulation has emerged in the last decade as a widely used method of visual effects,
computer games, and urban planning, etc. The improvement of hardware performance and …

We present SEAN 2.0, an open-source system designed to advance social navigation via
the training and benchmarking of navigation policies in varied social contexts. A key …

The real‐time simulation of human crowds has many applications. Simulating how the
people in a crowd move through an environment is an active and ever‐growing research …

Crowd path planning aims to find the optimal path between the source and destination for
multiple agents in crowd scenes. The advent of parallel theory and digital twin technologies …

Large multi-agent systems such as crowds involve inter-agent interactions that are typically
anticipatory in nature, depending strongly on both the positions and the velocities of agents …

Simulating and evaluating the impact that a building design might produce on its prospective
occupants is a key challenge in architectural design. Prior work demonstrated the …

Agent-based synthetic crowd simulation affords the cost-effective large-scale simulation and
animation of interacting digital humans. Model-based approaches have successfully …

This paper analyzes the emergent behaviors of pedestrian groups that learn through the
multiagent reinforcement learning model developed in our group. Five scenarios studied in …

An evacuation plan helps people move away from an area or a building. To assist rapid
evacuation, we present an algorithm to compute the optimal route for each local region. The …

Many multi-agent navigation approaches make use of simplified representations such as a
disk. These simplifications allow for fast simulation of thousands of agents but limit the …