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A robust strategy for uav autonomous landing on a moving platform under partial observability
Landing a multi-rotor uncrewed aerial vehicle (UAV) on a moving target in the presence of
partial observability, due to factors such as sensor failure or noise, represents an …
partial observability, due to factors such as sensor failure or noise, represents an …
Integrated learning-based framework for autonomous quadrotor UAV landing on a collaborative moving UGV
C Wang, J Wang, Z Ma, M Xu, K Qi… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Autonomous unmanned aerial vehicle (UAV) landing on a moving unmanned ground
vehicle (UGV) remains a challenge as it is difficult for the UAV to track the real-time state of …
vehicle (UGV) remains a challenge as it is difficult for the UAV to track the real-time state of …
Vision-based algorithm for autonomous aerial landing
The landing phase is a critical stage in autonomous aerial landing, especially when the
aerial vehicle lands in a moving platform, as ground vehicles. In this paper, a solution …
aerial vehicle lands in a moving platform, as ground vehicles. In this paper, a solution …
AgentForge: A Flexible Low-Code Platform for Reinforcement Learning Agent Design
FEF Junior, A Oulasvirta - ar** a reinforcement learning (RL) agent often involves identifying values for
numerous parameters, covering the policy, reward function, environment, and agent-internal …
numerous parameters, covering the policy, reward function, environment, and agent-internal …
Multi-Agent Target Assignment and Path Finding for Intelligent Warehouse: A Cooperative Multi-Agent Deep Reinforcement Learning Perspective
Multi-agent target assignment and path planning (TAPF) are two key problems in intelligent
warehouse. However, most literature only addresses one of these two problems separately …
warehouse. However, most literature only addresses one of these two problems separately …
SafeSwarm: Decentralized Safe RL for the Swarm of Drones Landing in Dense Crowds
This paper introduces a safe swarm of drones capable of performing landings in crowded
environments robustly by relying on Reinforcement Learning techniques combined with …
environments robustly by relying on Reinforcement Learning techniques combined with …