Velocity obstacles (VO) are one of the most successful methods to compute collision-free
trajectory for multi-agent systems. VO provide for each autonomous robot the set of velocities …

This paper presents an approach for evasive maneuver against dynamic obstacles in multi-
agent navigation in a crowd evacuation scenario. Our proposed approach is based on …

The quality of a crowd simulation model is determined by its agents' local and global
trajectory efficiency. While an agent-based model can accurately handle the local …

In this paper, we present an algorithm for navigating multiple robots under perception and
ego-motion uncertainty. Our approach is based on the concept of the Reciprocal Velocity …

In this study have we focused on two aspects of multi-agent simulations. The first is based on
a finding in recent years, which is that a standalone global path does not always provide …

This paper proposes an effective human approaching algorithm that enables a mobile
service robot to safely and socially approach humans in dynamic and crowded …

Reciprocal velocity obstacles (RVO) is a method used for multiagents navigation that
enables collision and oscillation-free avoidance against other mobile agents. Despite its …

Navigation of multiple mobile robots (MMRs) has gained significant interest in recent years
because of its growing applications such as in exploration, search and rescue, and scientific …