Zobrazeno 1 - 10
of 513
pro vyhledávání: '"control barrier function"'
Publikováno v:
SICE Journal of Control, Measurement, and System Integration, Vol 17, Iss 1, Pp 211-221 (2024)
This paper presents a novel control strategy for drone networks to improve the quality of 3D structures reconstructed from aerial images by drones. Unlike the existing coverage control strategies for this purpose, our proposed approach simultaneously
Externí odkaz:
https://doaj.org/article/c71cfb94698d427c9a716993755ad0c5
Publikováno v:
SICE Journal of Control, Measurement, and System Integration, Vol 17, Iss 1, Pp 144-155 (2024)
This paper presents a novel angle-aware coverage control method to enhance monitoring efficiency for large-scale 3D map reconstruction using drone networks. The proposed method integrates a Voronoi-based coverage control as the nominal input into the
Externí odkaz:
https://doaj.org/article/eabe23138c274901bbe1ade762cbbc2d
Autor:
Yuta Nakai, Toru Namerikawa
Publikováno v:
SICE Journal of Control, Measurement, and System Integration, Vol 17, Iss 1, Pp 106-121 (2024)
This research deals with the cooperative control of CAVs (Connected and Automated Vehicles) at signal-free intersection. CAVs communicate with each other and adjust their speeds to safely pass through the intersection without having to stop. This is
Externí odkaz:
https://doaj.org/article/68d72e65bdc6416d81774fef7bf8b2ec
Publikováno v:
Franklin Open, Vol 8, Iss , Pp 100160- (2024)
Robot swarms can accomplish complex tasks, and in this work, we seek to design swarm robotic algorithms for search and rescue that are scalable to large swarms, efficient in terms of computations, safe from collisions, and tunable to mediate the trad
Externí odkaz:
https://doaj.org/article/b20c92f0b6224d6081b2eb901712fbd3
Publikováno v:
Frontiers in Robotics and AI, Vol 11 (2024)
In robotics, active exploration and learning in uncertain environments must take into account safety, as the robot may otherwise damage itself or its surroundings. This paper presents a method for safe active search using Bayesian optimization and co
Externí odkaz:
https://doaj.org/article/8a20906e0cf54a53b5db559bf4a43d36
Publikováno v:
Drones, Vol 8, Iss 9, p 481 (2024)
Reinforcement learning (RL) has been shown to be effective in path planning. However, it usually requires exploring a sufficient number of state–action pairs, some of which may be unsafe when deployed in practical obstacle environments. To this end
Externí odkaz:
https://doaj.org/article/db990fb209bf414c8588491f33312aad
Publikováno v:
Biomimetics, Vol 9, Iss 9, p 510 (2024)
This study addresses the challenge of bearing-only target localization with sensor bias contamination. To enhance the system’s observability, inspired by plant phototropism, we propose a control barrier function (CBF)-based method for UAV motion pl
Externí odkaz:
https://doaj.org/article/e41299353af84351a25b60cf39d38bee
Publikováno v:
Drones, Vol 8, Iss 8, p 415 (2024)
In order to address the potential collision issue arising from multiple fixed-wing unmanned aerial vehicles (UAVs) intercepting targets in n-on-n and n-on-1 pursuit-evasion scenarios, we propose a collision-avoidance guidance strategy for UAVs based
Externí odkaz:
https://doaj.org/article/40fb2b8bca204328aa2b220646d36997
Publikováno v:
Information, Vol 15, Iss 8, p 462 (2024)
This paper presents safe coverage control algorithms for multi-agent systems, integrating Centroidal Voronoi Tessellation (CVT) and control barrier functions (CBFs). This study aims to ensure safety and spatial optimization by combining CVT and CBFs
Externí odkaz:
https://doaj.org/article/021127c77f874e58917cfc1ee4d5ff33
Publikováno v:
Drones, Vol 8, Iss 4, p 166 (2024)
In the evolving landscape of autonomous systems, the integration of unmanned aerial vehicles (UAVs) and unmanned ground vehicles (UGVs) has emerged as a promising solution for improving the localization accuracy and operational efficiency for diverse
Externí odkaz:
https://doaj.org/article/44c6a25c72d74620bead5a56e46802ae