With growing numbers of intelligent autonomous systems in human environments, the ability
of such systems to perceive, understand, and anticipate human behavior becomes …

Recent advances in trajectory replanning have enabled quadrotor to navigate autonomously
in unknown environments. However, high-speed navigation still remains a significant …

This paper presents a decentralized and asynchronous systematic solution for multi-robot
autonomous navigation in unknown obstacle-rich scenes using merely onboard resources …

This paper presents a novel integrated approach for efficient optimization based online
trajectory planning of topologically distinctive mobile robot trajectories. Online trajectory …

In a human-robot coexisting environment, it is pivotal for a mobile service robot to arrive at
the goal position safely and efficiently. In this article, an elastic band-based rapidly exploring …

The computational effort of trajectory planning for automated vehicles often increases with
the complexity of the traffic situation. This is particularly problematic in safety-critical …

Gradient-based trajectory optimization (GTO) has gained wide popularity for quadrotor
trajectory replanning. However, it suffers from local minima, which is not only fatal to safety …

There are many applications in motion planning where it is important to consider and
distinguish between different topological classes of trajectories. The two important, but …

In highly interactive driving scenarios, the actions of one agent greatly influence those of its
neighbors. Planning safe motions for autonomous vehicles (AVs) in such interactive …

In a human-robot coexisting environment, reaching the target place efficiently and safely is
pivotal for a mobile service robot. In this paper, a Risk-based Dual-Tree Rapidly exploring …