Zobrazeno 1 - 10
of 3 689
pro vyhledávání: '"Multi-robot systems"'
Autor:
Joewell Mawanza
Publikováno v:
IET Control Theory & Applications, Vol 18, Iss 13, Pp 1669-1685 (2024)
Abstract This article addresses the issue of collaborative wildfire monitoring using a group mobile mecanum‐wheeled omnidirectional vehicles (MWOVs) affected by nonlinear uncertainties and external disturbances. By integrating finite‐time extende
Externí odkaz:
https://doaj.org/article/a1a63450e72045d1b53e2d3141cf1b0c
Publikováno v:
Industrial Robot: the international journal of robotics research and application, 2024, Vol. 51, Issue 4, pp. 607-616.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IR-12-2023-0337
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
Publikováno v:
Advanced Intelligent Systems, Vol 6, Iss 9, Pp n/a-n/a (2024)
The current trajectory planning methods for multi‐robot systems face challenges due to high computational burden and inadequate adaptability in complex constrained environments, obstructing efficiency improvements in production and logistics. This
Externí odkaz:
https://doaj.org/article/e7c6d21dc7a54a4c90f8a9968ac3417e
Autor:
Stepan Dergachev, Konstantin Yakovlev
Publikováno v:
PeerJ Computer Science, Vol 10, p e2220 (2024)
Collision avoidance is a crucial component of any decentralized multi-agent navigation system. Currently, most of the existing multi-agent collision-avoidance methods either do not take into account the kinematic constraints of the agents (i.e., they
Externí odkaz:
https://doaj.org/article/49e62ca6e2d845aa8fb5de47340edd84
Autor:
Ori Manasherov, Amir Degani
Publikováno v:
Smart Agricultural Technology, Vol 8, Iss , Pp 100461- (2024)
This paper presents an autonomous multi-agent drone system utilized for an artificial pollination task to address the declining bee population and its impact on natural pollination. The main goal is to visit all the targets (flowers) by drones. The s
Externí odkaz:
https://doaj.org/article/b33007fb4a884a13bba92c5b059846a6
Publikováno v:
IET Cyber-systems and Robotics, Vol 6, Iss 2, Pp n/a-n/a (2024)
Abstract The authors propose a distributed field mapping algorithm that drives a team of robots to explore and learn an unknown scalar field using a Gaussian Process (GP). The authors’ strategy arises by balancing exploration objectives between are
Externí odkaz:
https://doaj.org/article/e28dffccf5db43edb4835854dbf6e7cb
Publikováno v:
IEEE Open Journal of Control Systems, Vol 3, Pp 461-471 (2024)
This paper examines pairwise collaborations in heterogeneous multi-robot systems. In particular, we focus on how individual robots, with different functionalities and dynamics, can enhance their resilience by forming collaborative arrangements that r
Externí odkaz:
https://doaj.org/article/0a207cf0fe4d4d5087f0c0eb7c809396
Publikováno v:
IEEE Open Journal of the Computer Society, Vol 5, Pp 511-529 (2024)
Electromagnetic Side Channel Analysis (EM-SCA) is a major area of interest within the field of cybersecurity. EM-SCA makes use of the electromagnetic radiation that naturally leaks from any device that runs on electricity. Information about the obser
Externí odkaz:
https://doaj.org/article/71124682f5dd483c992e945c6c74b37c
Autor:
Ishaq Ansari, Abubakr Mohammed, Yaqoob Ansari, Mohammed Yusuf Ansari, Saquib Razak, Eduardo Feo Flushing
Publikováno v:
IEEE Access, Vol 12, Pp 132838-132855 (2024)
In our research, we address the problem of coordination and planning in heterogeneous multi-robot systems for missions that consist of spatially localized tasks. Conventionally, this problem has been framed as a task allocation problem that maps task
Externí odkaz:
https://doaj.org/article/a8c5115b53fe46d3a165a4f05294642c