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Autonomous navigation for eVTOL: Review and future perspectives
H Wei, B Lou, Z Zhang, B Liang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
This survey paper explores the emergent domain of electric vertical takeoff and landing
vehicles (eVTOLs), emphasizing the critical role of autonomous navigation capabilities …
vehicles (eVTOLs), emphasizing the critical role of autonomous navigation capabilities …
A survey on autonomous environmental monitoring approaches: towards unifying active sensing and reinforcement learning
The environmental pollution caused by various sources has escalated the climate crisis
making the need to establish reliable, intelligent, and persistent environmental monitoring …
making the need to establish reliable, intelligent, and persistent environmental monitoring …
Enhanced UAV Pursuit-Evasion Using Boids Modelling: A Synergistic Integration of Bird Swarm Intelligence and DRL.
W **, X Tian, B Shi, B Zhao… - … , Materials & Continua, 2024 - search.ebscohost.com
The UAV pursuit-evasion problem focuses on the efficient tracking and capture of evading
targets using unmanned aerial vehicles (UAVs), which is pivotal in public safety …
targets using unmanned aerial vehicles (UAVs), which is pivotal in public safety …
Adaptivity: a path towards general swarm intelligence?
The field of multi-robot systems (MRS) has recently been gaining increasing popularity
among various research groups, practitioners, and a wide range of industries. Compared to …
among various research groups, practitioners, and a wide range of industries. Compared to …
Uncrewed Vehicles in 6G Networks: A Unifying Treatment of Problems, Formulations, and Tools
Uncrewed Vehicles (UVs) functioning as autonomous agents are anticipated to play a
crucial role in the 6th Generation of wireless networks. Their seamless integration, cost …
crucial role in the 6th Generation of wireless networks. Their seamless integration, cost …
[HTML][HTML] Distributed control for multi-robot interactive swarming using voronoi partioning
The problem of safe navigation of a human-multi-robot system is addressed in this paper.
More precisely, we propose a novel distributed algorithm to control a swarm of unmanned …
More precisely, we propose a novel distributed algorithm to control a swarm of unmanned …
AGCoTrack: A Communication-efficient Independent Reinforcement Learning Method for Aerial-Ground Collaborative Tracking
In the realm of the Internet of Things, a multitude of interconnected and intelligent devices
enable profound interaction with the physical world. Within this context, a combination of …
enable profound interaction with the physical world. Within this context, a combination of …
Decentralized Multirobotic Fish Pursuit Control With Attraction-Enhanced Reinforcement Learning
Y Feng, Z Wu, J Wang, J Gu, F Yu… - IEEE Transactions on …, 2025 - ieeexplore.ieee.org
Adaptive and efficient cooperative control is a crucial capability for multirobotic fish systems,
as it can substantially enhance their performance in complex underwater tasks. The pursuit …
as it can substantially enhance their performance in complex underwater tasks. The pursuit …
Target Localization and Pursuit With Networked Robotic Vehicles: Theory, Simulation, and Experiments
This paper addresses the problem of range‐based simultaneous localization and pursuit
(SLAP) with networked robotic vehicles from a theoretical and practical standpoint. The work …
(SLAP) with networked robotic vehicles from a theoretical and practical standpoint. The work …
[HTML][HTML] Scalable and cohesive swarm control based on reinforcement learning
Unmanned vehicles have seen a significant increase in a wide variety of fields such as for
logistics, agriculture and other commercial applications. Controlling swarms of unmanned …
logistics, agriculture and other commercial applications. Controlling swarms of unmanned …