20 hours ago · This paper introduces a novel decentralized swarm control strategy for multi-UAV systems engaged in intercepting multiple dynamic targets. The proposed control ...

3 days ago · Our approach relies on an efficient obstacle detection and tracking algorithm based on depth ... Obstacle Avoidance of UAV Based on Deep Reinforcement Learning.

Jul 14, 2024 · [43] proposes a multi-mobile robot path planning and obstacle avoidance method based on ACO and the dynamic window approach (DWA), similarly focusing only on ...

Jul 2, 2024 · In this paper, we presented a vision-based decentralized collision-avoidance policy for multi-UAV systems, which takes depth images and inertial measurements as ...

6 days ago · The table shows how different studies utilize AR and Virtual Reality (VR) technologies to address various challenges such as UAV navigation, path planning, ...

18 hours ago · In the field of intelligent decision, Li et al. [15] achieved UAV target tracking and obstacle avoidance by introducing random noise into DRL through task ...

Jul 12, 2024 · This paper provides an in-depth analysis of the current research landscape in the field of UAV (Unmanned Aerial Vehicle) swarm formation control.

Jul 1, 2024 · This paper proposes a deep reinforcement learning method to solve the UAV ... UAV tracking of a pillar and obstacle avoidance. It is demonstrated that our ...

Jul 17, 2024 · The State-of-the-Art (SoA) convolutional neural network (CNN) for visual-based autonomous navigation on nano-UAVs is PULP-Dronet v2 [5] , outputting a collision ...

Jul 11, 2024 · We have observed that Reinforcement Learning based algorithms are more often used in AI-integrated UAV systems than other AI algorithms. Further, our findings ...