Autonomous vehicles are expected to play a key role in the future of urban transportation
systems, as they offer potential for additional safety, increased productivity, greater …

This paper presents safety barrier certificates that ensure scalable and provably collision-
free behaviors in multirobot systems by modifying the nominal controllers to formally satisfy …

We present a distributed model predictive control (DMPC) algorithm to generate trajectories
in real-time for multiple robots. We adopted the on-demand collision avoidance method …

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

The multi-agent path-finding (MAPF) problem has recently received a lot of attention.
However, it does not capture important characteristics of many real-world domains, such as …

We study optimal multirobot path planning on graphs (MPP) over four minimization
objectives: the makespan (last arrival time), the maximum (single-robot traveled) distance …

We review a range of techniques related to navigation of unmanned vehicles through
unknown environments with obstacles, especially those that rigorously ensure collision …

This letter introduces a hybrid algorithm of deep reinforcement learning (RL) and Force-
based motion planning (FMP) to solve distributed motion planning problem in dense and …

In this paper, we present a method, namely€ CCA, for collision avoidance in dynamic
environments among interacting agents, such as other robots or humans. Given a preferred …

The rapid increase in the number of unmanned aerial vehicles (UAVs) poses a threat to the
safety of personnel, ground facilities, and aircraft. Therefore, as the basis of UAV safety …