An approach to real-time trajectory generation for platoons of autonomous vehicles is developed from well-known control techniques for redundant robotic manipulators. The partially decentralized structure of this approach permits each vehicle to independently compute its trajectory in real-time using only locally generated information and low-bandwidth feedback generated by a system exogenous to the platoon. Our work is motivated by applications for which communications bandwidth is severely limited, such for platoons of autonomous underwater vehicles. The communication requirements for our trajectory generation approach are independent of the number of vehicles in the platoon, enabling platoons composed of a large number of vehicles to be coordinated despite limited communication bandwidth.
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http://dx.doi.org/10.1109/tsmcb.2005.846643 | DOI Listing |
Sensors (Basel)
December 2024
School of Microelectronics and Communication Engineering, Chongqing University, Chongqing 400044, China.
Unmanned aerial vehicles (UAVs) furnished with computational servers enable user equipment (UE) to offload complex computational tasks, thereby addressing the limitations of edge computing in remote or resource-constrained environments. The application of value decomposition algorithms for UAV trajectory planning has drawn considerable research attention. However, existing value decomposition algorithms commonly encounter obstacles in effectively associating local observations with the global state of UAV clusters, which hinders their task-solving capabilities and gives rise to reduced task completion rates and prolonged convergence times.
View Article and Find Full Text PDFSoc Work Public Health
January 2025
School of Social Work, Renison University College, University of Waterloo, Waterloo, Ontario, Canada.
In Canada, links between social determinants and household food insecurity (HFI) are well-documented, but the influence of political parties remains unclear. This study examines whether political parties predict HFI rates across Canadian provinces and explores the mediating roles of low income and social assistance. Panel data from 2005 to 2014 were obtained from Statistics Canada, with political party strength categorized as left, center, or right.
View Article and Find Full Text PDFBiosocieties
March 2024
Goethe Universität Frankfurt am Main, Theodor-W.-Adorno-Platz 6, Campus-Westend - PEG-Gebäude, Raum 3.G 072, 60323 Frankfurt am Main, Germany.
This piece analyzes the way in which women that froze, are considering freezing or are freezing their eggs in Spain think critically about broader reproductive politics in Spain and about assisted reproduction. Drawing partially on previous studies around egg freezing, Thomas Lemke has suggested that cryopreservation practices represent a "politics of suspension" characterized by both reversibility and disposition, and concomitant with broader political inaction (Lemke in Sci Technol Hum Values 48(4):1-27, 2021). Drawing on feminist literature, and on how some of these women think about motherhood, it is relevant to emphasize this 'suspension of politics' that takes place along with a "politics of suspension," meaning that certain matters (such as reproduction and its postponement) are only to be dealt with privately and individually, through marketized fertility preservation programs in this case.
View Article and Find Full Text PDFBr J Soc Psychol
January 2025
Massey University, Auckland, New Zealand.
In Eastern Europe, collective victim beliefs have become integral elements of national ideologies, especially amid rising geopolitical polarization. In this study, we investigated how exclusive victimhood was related to geopolitical attitudes in Hungary and Serbia. The study involved Serbian (N = 630) and Hungarian (N = 471) adult national samples stratified by gender, age, political orientation, and place of residence.
View Article and Find Full Text PDFSensors (Basel)
October 2024
College of Electronic Engineering, National University of Defense Technology, Hefei 230037, China.
The multi-UAV target search problem is crucial in the field of autonomous Unmanned Aerial Vehicle (UAV) decision-making. The algorithm design of Multi-Agent Reinforcement Learning (MARL) methods has become integral to research on multi-UAV target search owing to its adaptability to the rapid online decision-making required by UAVs in complex, uncertain environments. In non-cooperative target search scenarios, targets may have the ability to escape.
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