Robot navigation in crowded public spaces is a complex task that requires addressing a
variety of engineering and human factors challenges. These challenges have motivated a …

Principles of typical motion planning algorithms are investigated and analyzed in this paper.
These algorithms include traditional planning algorithms, classical machine learning …

Finding feasible, collision-free paths for multiagent systems can be challenging, particularly
in non-communicating scenarios where each agent's intent (eg goal) is unobservable to the …

In crowd scenarios, predicting trajectories of pedestrians is a complex and challenging task
depending on many external factors. The topology of the scene and the interactions …

In this paper, we present a formal approach to reciprocal n-body collision avoidance, where
multiple mobile robots need to avoid collisions with each other while moving in a common …

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 the hybrid reciprocal velocity obstacle for collision-free and oscillation-free
navigation of multiple mobile robots or virtual agents. Each robot senses its surroundings …

In this paper an optimalmethod for distributed collision avoidance among multiple non-
holonomic robots is presented in theory and experiments. Non-holonomic optimal reciprocal …

Large dense crowds show aggregate behavior with reduced individual freedom of
movement. We present a novel, scalable approach for simulating such crowds, using a dual …

In the everyday exercise of controlling their locomotion, humans rely on their optic flow of the
perceived environment to achieve collision-free navigation. In crowds, in spite of the …