This letter presents a new online multi-agent trajectory planning algorithm that guarantees to
generate safe, dynamically feasible trajectories in a cluttered environment. The proposed …

This article presents an online distributed trajectory planning algorithm for a quadrotor
swarm in a maze-like dynamic environment. We utilize a dynamic linear safe corridor to …

This work presents a decentralized motion planning framework for addressing the task of
multi-robot navigation using deep reinforcement learning. A custom simulator was …

Occasionally, professional rescue teams encounter issues while rescuing people during
earthquake collapses. One such issue is the localization of wounded people from the …

The coordinated motion between the press and the feeding mechanism directly determines
the production efficiency of the high-speed stamping line. In order to generate the high …

The field of developing multiple UAV trajectories for surveillance and task orientation
presents a captivating area of inquiry. A comprehensive study is made here for developing …

Joint multi-agent trajectory optimization is conventionally considered intractable due to the
exponential scaling of the number of collision avoidance constraints and linear increase in …