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Fast Scheduling of Multi-Robot Teams with Temporospatial Constraints
2013
Robotics: Science and Systems IX
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We use this fast task sequencer in conjunction with a MILP solver, and show that we are able to generate near-optimal task assignments and schedules for up to 10 agents and 500 tasks in less than 20 seconds ...
Our key innovation is a fast, satisficing multi-agent task sequencer that is inspired by real-time processor scheduling techniques but is adapted to leverage hierarchical problem structure. ...
EVALUATION AND DISCUSSION In this section, we empirically validate that Tercio is fast and produces near-optimal solutions for the multi-agent task assignment and scheduling problem with temporal and spatial-proximity ...
doi:10.15607/rss.2013.ix.049
dblp:conf/rss/GombolayWS13
fatcat:rskpaqp4bngdxoh7tenzdvexyq
Dynamic Assignment of Geospatial-Temporal Macro Tasks to Agents under Human Strategic Decisions for Centralized Scheduling in Multi-Agent Systems
2014
International Journal of Machine Learning and Computing
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(rational agents) to minimize the total operation time in uncertain, dynamic, and spatial environments. ...
Objective: The purpose of this paper is to propose an intelligent software system that assists the IC in the dynamic assignment of geospatial-temporal macro tasks to agents under human strategic decisions ...
This enabled him to be a visiting scholar at the Information Sciences Institute of the University of Southern California and the Robotics Institute of Carnegie Mellon University from November 2011 to November ...
doi:10.7763/ijmlc.2014.v4.383
fatcat:vlzui36f3vda5oj5c7rffzre4y
Decentralized planning for complex missions with dynamic communication constraints
2010
Proceedings of the 2010 American Control Conference
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An architecture to facilitate real-time task replanning in a dynamic environment, along with methods to handle varying communication constraints and dynamic network topologies, is also presented. ...
Simulation results and experimental flight tests in an indoor test environment verify the proposed task planning methodology for complex missions. ...
ACKNOWLEDGMENTS This research was supported in part by AFOSR (FA9550-08-1-0086), MURI (FA9550-08-1-0356), and Boeing Research and Technology. ...
doi:10.1109/acc.2010.5531232
fatcat:oxgrihj7ibcb5gxtyo46zaul7i
Summary of Satellite Collaborative Planning Algorithm
2020
International Journal of Future Computer and Communication
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research status of satellite autonomous and collaborative task scheduling planning, and summarizes the research progress of single-star and multi-star mission scheduling problems according to "ground ...
In a word, satellite autonomous and collaborative task scheduling has broad research prospects. Index Terms-Independent collaboration, satellite, integration of satellite and earth. ...
AUTHOR CONTRIBUTIONS Jie Zhang conducted the research and wrote the paper; Gang Wang analyzed the data; Fangzheng Zhao collected study materials; Guiling Tian wrote the initial draft; all authors had approved ...
doi:10.18178/ijfcc.2020.9.1.557
fatcat:l6prd7iov5bmvj6gibjdgsjszi
Incremental multi-robot task selection for resource constrained and interrelated tasks
2007
2007 IEEE/RSJ International Conference on Intelligent Robots and Systems
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This approach results in globally efficient solutions through mechanisms that form priority based rough schedules and select the most suitable tasks from these schedules. ...
members of a multi-robot team. ...
[12] models the multi-agent task assignment problem as a scheduling problem for the RoboCupRescue simulation domain. ...
doi:10.1109/iros.2007.4399519
dblp:conf/iros/SarielBE07
fatcat:uemkvzk6kne2nig4oi5gfse6ai
Cooperative Aerial-Ground Multi-Robot System for Automated Construction Tasks
2020
IEEE Robotics and Automation Letters
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2022 pre-print arXiv:2204.13926v1 fatcat:uqz45yzp6reutkrjrqnt2stuya
We propose a solution for planning and coordinating the mission of constructing a wall with a predefined structure for a heterogeneous system consisting of one mobile robot and up to three unmanned aerial ...
To that end, we use hierarchical task representation to specify interrelationships between mission subtasks and employ effective scheduling and coordination mechanism, inspired by Generalized Partial Global ...
Controlling a heterogeneous team of robots requires precise high-level task planning and fast and robust coordination mechanisms. ...
doi:10.1109/lra.2020.2965855
fatcat:qrauyvyk6fdybepfslwoijlzf4
Coordination Approaches and Systems - Part II: An Operational Perspective
2000
Research in Engineering Design
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Aspects of coordination categorised as operational include resource management, scheduling and planning. ...
This paper is concerned with operational coordination, which is aimed at coordinating activities such that the design process can be performed in a near optimal manner with respect to time, and the allocation ...
Acknowledgements The authors gratefully acknowledge the support given by the Engineering and Physical Science Research Council who provided the grant RES/4741/0920 that enabled this work to be undertaken ...
doi:10.1007/s001630012073
fatcat:kpqhvtsawzaddmnke42yfvfsye
Multi-Agent System for Real Time Planning Using Collaborative Agents
2014
International Journal of Intelligence Science
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agents, and the task will be transmitted through some assigned communication channel using multi-agent approach. ...
These include general organizational concepts, the distribution of management tasks, dynamic organizational changes like team formation and underlying communication mechanisms; c) autonomous agents: research ...
Also as part of the Divisional project Soft Computing and Applications in the sub line Multi Agent Systems: Modeling and Simulation funded by the same University. ...
doi:10.4236/ijis.2014.44011
fatcat:panqm43bxbabtneuitdmhvegfa
Multi Agent Systems for Multi Enterprise Scheduling
[chapter]
2002
IFIP Advances in Information and Communication Technology
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Multi Enterprise Scheduling' considers the temporal allocation of activities to resources. ...
The Organization units are identified in an Organizational and Resource Model. In the concept they are represented through Multi Agents, namely the Activity Agent and the Resource Agent. ...
, double reservations
MULTI AGENTS FOR SCHEDULING For the scheduling of activities which need these external resources the requirements like 'information exchange', 'Negotiation' and 'Task' must be satisfied ...
doi:10.1007/978-0-387-35492-7_43
fatcat:n2lhwif2tvgznbawauy2moqcbu
Comparison of agent-based scheduling to look-ahead heuristics for real-time transportation problems
2007
European Journal of Operational Research
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We consider the real-time scheduling of full truckload transportation orders with time windows that arrive during schedule execution. ...
Particularly, the multi-agent approach yields less empty miles and a more stable service level. ...
Here resources (e.g. vehicles) are also dynamically assigned to tasks that arrive during schedule execution. ...
doi:10.1016/j.ejor.2006.02.051
fatcat:tdn4gbgtuzf3pdycrgr3j7ocu4
ECOTRUCK: An Agent System for Paper Recycling
[chapter]
2011
IFIP Advances in Information and Communication Technology
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EcoTruck is modelled as a multi-agent system and its implementation employs Erlang, a distribution-oriented declarative language. ...
The latter have the effect of minimising vehicle travel distances and subsequently lowering transportation costs. ...
Once a new collection task is assigned to the agent, it is added to the truck's plan. Each Truck agent maintains its own plan, that is a queue of jobs it intends to execute. ...
doi:10.1007/978-3-642-23960-1_37
fatcat:6xasj62rmjarbb47lctl4e7kuu
Hierarchically Structured Scheduling and Execution of Tasks in a Multi-Agent Environment
[article]
2022
arXiv
pre-print
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In this work, we set ourselves on a problem that presents itself with a hierarchical structure: the task-scheduling, by a centralised agent, in a dynamic warehouse multi-agent environment and the execution ...
We propose to use deep reinforcement learning to solve both the high-level scheduling problem and the low-level multi-agent problem of schedule execution. ...
Introduction Tasks appear dynamically in a warehouse or retail store environment, and multiple agents must cooperate in executing them. ...
arXiv:2203.03021v1
fatcat:undob22rivgbncl2bxddshbhja
MAFC: Multi-Agent Fog Computing Model for Healthcare Critical Tasks Management
2020
Sensors
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The main role of the multi-agent system is mapping between three decision tables to optimize scheduling the critical tasks by assigning tasks with their priority, load in the network, and network resource ...
We suggest in this paper a Multi-Agent Fog Computing model for healthcare critical tasks management. ...
Lastly, it facilitated node cooperation and resource sharing with neighbor Nodes using Multi-Agents System. ...
doi:10.3390/s20071853
pmid:32230843
fatcat:rojvpl2dyvdwzdogs6fswy337y
An Algorithm for Allocating Structured Tasks in Multi-Robot Scenarios
[chapter]
2017
Smart Innovation, Systems and Technologies
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Specifically, we will focus on multi-robot task allocation problems when tasks have time windows or ordering constraints. We will outline the main lines of research and open problems. ...
Task allocation is ubiquitous in computer science and robotics, yet some problems have received limited attention in the computer science and AI community. ...
Acknowledgments: The help of Ernesto Nunes, Maria Manner, and Hakim Mitiche and partial support from NSF grant CNF-1531330 are gratefully acknowledged. ...
doi:10.1007/978-3-319-59394-4_10
fatcat:idcnjxkdxzaw5gdl7cb2nmwfby
Distributed Mission Planning of Complex Tasks for Heterogeneous Multi-Robot Teams
[article]
2021
arXiv
pre-print
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This class of problems involves tasks that can be executed in different ways and are associated with cross-schedule dependencies that constrain the schedules of the different robots in the system. ...
We propose a distributed metaheuristic based on evolutionary computation to allocate tasks and generate schedules for the set of chosen decompositions. ...
By combining a fast heuristic task decomposition selection method with a metaheuristic task assignment and scheduling optimization procedure, we can quickly search a large solution space and find efficient ...
arXiv:2109.10106v1
fatcat:naikx3o72rgwxnvlz2cbdo3qyi
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