23 papers · ranked by Valyu relevance
Yichao Wang, Chunjiang Wang, Shuangyin Ren, Leopoldo Angrisani
In multi-UAV cooperative tasks, dynamic communication topologies and resource heterogeneity present significant challenges for distributed task allocation, leading to high communication overhead and poor task-resource matching, which in turn increases computational costs. While the Consensus-Based Bundle Algorithm…
Ruoxue Xiang, Xiang Liu, Min Tian, Chenglong Ban + 3 more
Task allocation for agricultural machinery constitutes a critical challenge in multi-machine coordination within unmanned smart farms. Enhancing the efficiency of task allocation remains an urgent research problem. Current machinery often suffers from inefficient allocation strategies and unprocessed field areas, which…
Fei Liu, ZhiLi Liu, XiaoHong Liu, Hua Zhou
Fog computing offers a decentralized paradigm to address the low-latency and energy-efficiency requirements of emerging IoT applications. However, the heterogeneity of edge nodes, the dynamic nature of workloads, and the dual need for both real-time and non-real-time scheduling introduce significant challenges in task…
Weifei Gan, Hongxuan Xu, Yunwei Bai, Xin Zhou + 3 more
Large multi-UAV mission systems operate over time-varying communication graphs with heterogeneous platforms, where classical distributed task assignment may incur excessive message passing and suboptimal task-resource matching. To address these challenges, this paper proposes CLAC-CBBA (Centrality-Driven and Load-Aware…
Chen, Xiubin
The Multi-Traveling Salesman Problem (MTSP) is a commonly used mathematical model for multi-agent task allocation. However, as the number of agents and task targets increases, existing optimization-based methods often incur prohibitive computational costs, posing significant challenges to large-scale coordination in…
Niklas Dahlquist, Shridhar Velhal, George Nikolakopoulos
This paper presents a scalable framework for multi-robot task allocation in complex environments where estimating task execution costs is computationally expensive. While combinatorial auction-based approaches offer reliable solutions, the exponential complexity of bundle generation typically renders them intractable…
Mohammadhossein Ghahramani, Yan Qiao, Mengchu Zhou
Task allocation in smart manufacturing systems needs to operate under decentralized decision-making, dynamic workloads, and shared resource constraints. In circular manufacturing settings, these challenges are further intensified by the need to balance operational efficiency with resource and energy sustainability.…
Kokhahi, Ahmad, Kurz, Mary
Multi-Agent Path Finding (MAPF) has gained significant attention, with most research focusing on minimizing collisions and travel time. This paper also considers energy consumption in the path planning of automated guided vehicles (AGVs). It addresses two main challenges: i) resolving collisions between AGVs and ii)…
Quitzé Valenzuela-Stookey
A principal must allocate a set of heterogeneous tasks (or objects) among multiple agents. The principal has preferences over the allocation. Each agent has preferences over which tasks they are assigned, which are their private information. The principal is constrained by the fact that each agent has the right to…
Helena Schulte, Carolin Bäuml, Erhard Strohm, Christoph Kurze
Division of labour is key to the success of eusocial insects, including ants, termites, social wasps, and bees. While the well-studied honeybees are the primary example of age-based polyethism, the physiological transitions and underlying mechanisms mediating task allocation remain poorly understood in its sister…
Wenyang Guan, Qi Zheng, Xiaoqin Lian, Chao Gao + 1 more
With the rapid development of Internet of Vehicles (IoV) technology, massive data are continuously integrated into intelligent transportation systems, making efficient computing resource allocation a critical challenge for enhancing network performance. Due to the dynamic and real-time characteristics of IoV tasks…
Jie Gao, Weinan Xie, Haoya Liu, Junda Zhou + 3 more
Multi-AGV (Automated Guided Vehicle) systems operating in complex warehouse environments equipped with movable containers encounter several challenges, including high system no-load rate, low task response efficiency, and imbalanced path utilization. To address these issues, we propose an integrated optimization…
Fuma Omori, Atsushi Yano, Takuya Azumi
—Autonomous driving systems, critical for safety, require real-time guarantees and can be modeled as DAGs. Their acceleration features, such as caches and pipelining, often result in execution times below the worst-case. Thus, a probabilistic approach ensuring constraint satisfaction within a probability threshold is…
Authors not listed
This comprehensive review examines the evolution of autonomous materials synthesis laboratories that integrate artificial intelligence with advanced robotics to accelerate discovery. Traditional materials development pipelines typically require 10-20 years, but self-driving laboratories (SDLs) and Materials…
Jan J. Kreider, Thijs Janzen, Boris H. Kramer, Ido Pen
Eusocial insects have extreme intraspecific lifespan variation, where queens are long-lived (up to 30 years) whereas workers only live for a few months or years at most. Several studies have invoked the disposable soma theory to explain the evolution of caste-specific ageing in eusocial insects, which proposes that…
Mariko Nakata, Rino Iwabuchi, Tomoaki Murakawa, Shinnosuke Dezawa + 3 more
A group of social animals, including humans, distributes work and rewards and establishes inter-individual relationships through shared experiences of working together. Understanding the neural mechanisms underlying group work is essential for elucidating how social relationships are formed. Thus, a behavioral paradigm…
Authors not listed
This research investigates predicting the Highest Occupied Molecular Orbital and the Lowest Unoccupied Molecular Orbital (HOMO-LUMO; short HL) gap of natural compounds, a crucial property for understanding molecular electronic behavior relevant to cheminformatics and materials science. To address the high computational…
Sofia Nagisa, Ethan Oblak, Shinsuke Shimojo, Kazuhisa Shibata
Multitasking is generally regarded as detrimental to performance. This deterioration effect is typically explained by the interference among tasks due to the limited capacity of information-processing resources, which in turn reduces the performance in each task. Contrary to this general view, we report evidence for a…
Authors not listed
This work establishes theoretical foundations for hierarchical quantum-classical algorithm design, where complex problems are decomposed across multiple spatial, temporal, or organizational scales with quantum and classical computation assigned to appropriate levels. We develop a mathematical framework that…
Authors not listed
Background: Pharmaceutical batch scheduling in multi-reactor configurations presents complex optimization challenges under operational uncertainty, yet limited research addresses how parallel processing capacity affects heuristic performance and predictive modeling. Objectives: This study investigated scheduling…
Christopher R. Nolan, Mike E. Le Pelley, Kelly G. Garner
The benefits of routines for daily functioning are widely acknowledged, yet, despite their apparent importance, methods for quantifying routine maintenance and the causes of their disruption remain lacking. Here, we propose a novel means of defining and quantifying routines (transition entropy). Using the transition…
Mario Michiels
Habits in humans are commonly studied through outcome devaluation paradigms, but most existing tasks fail to capture the robustness of habitual behavior seen in animal models. I introduce two novel behavioral tasks designed to overcome these limitations. In the first task, ("shooting aliens task", n = 45), I simplified…
Authors not listed
Machine olfaction—the artificial replication of the sense of smell—faces significant challenges due to the absence of large, standardized training datasets. Unlike vision, language, and audio models, which benefit from extensive corpora such as ImageNet, GLUE, and AudioSet, olfaction lacks scaled equivalents and…