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Apollonius Allocation Algorithm for Heterogeneous Pursuers to Capture Multiple Evaders
[article]
2020
arXiv
pre-print
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A dynamic divide and conquer approach, where at every time instant each evader is assigned to a set of pursuers based on the instantaneous positions of all the players, is introduced to solve the multi-agent ...
In this paper, we address pursuit-evasion problems involving multiple pursuers and multiple evaders. ...
To this end, UAV coordination strategies that formulate the problem as a multi-player pursuit-evasion (PE) game offer solutions that address many of the challenges involving multi-agent systems such as ...
arXiv:2006.10253v2
fatcat:pu6vybdadng5xf2sqyjblkrzui
A Game Benchmark for Real-Time Human-Swarm Control
[article]
2022
arXiv
pre-print
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Our benchmark consists of a swarm vs. swarm game in a virtual ROS environment in which the goal of the game is to capture all agents from the opposing swarm; the game's high-cadence is a result of the ...
We demonstrate our game benchmark with a default human-swarm control system that enables a player to interact with their swarm through a high-level touchscreen interface. ...
The views, opinions, and/or findings expressed are those of the authors, and should not be interpreted as representing the views or policies of either agency. ...
arXiv:2210.15852v1
fatcat:ofo4g675qncbhijl7iq5fm3hhe
Game Theoretic Approach to Threat Prediction and Situation Awareness
2006
2006 9th International Conference on Information Fusion
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In this paper, a data-fusion approach for asymmetric-threat detection and prediction based on advanced knowledge infrastructure and stochastic (Markov) game theory is proposed. ...
model with deception in levelthree fusion. ...
for teamed unmanned aerial vehicles, a stochastic differential pursuit-evasion game with multiple players, multi-missile interception, asymmetric threat detection and prediction, space situation awareness ...
doi:10.1109/icif.2006.301670
dblp:conf/fusion/ChenSKCK06
fatcat:jzyupdtnsjephnzbhvt5p7yeoq
Applications of hybrid reachability analysis to robotic aerial vehicles
2011
The international journal of robotics research
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This paper presents two applications of reachable sets, both focused on guaranteeing the safety and performance of robotic aerial vehicles. ...
Reachability analysis using a dynamic game formulation with Hamilton-Jacobi methods provides a useful way to generate these types of guarantees, and the technique is flexible enough to analyze a wide variety ...
Collision Avoidance and Tactical Air Traffic Control Tools" project administered by NASA under grant #NNA06CN22A, and in part by the "Frameworks and Tools for High Confidence Design of Adaptive, Distributed ...
doi:10.1177/0278364910387173
fatcat:3ujjieweffchjja6tikyokdgyu
War Game between Two Matched Fleets with Goal Options and Tactical Optimization
2022
AI
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Some interesting outlier cases are inspected to gain some insights on this game. ...
All six possible contests between options are simulated and analyzed in terms of payoff, impact scores on CV, CG, DDG, and the number of lost fighters. ...
In Reference [8] , an autonomous maneuver decision-making method for two cooperative unmanned aerial vehicles (UAVs) in air combat was proposed. ...
doi:10.3390/ai3040054
fatcat:vaycxstfjnffpdhd5t3f625mmu
Evasive Maneuver Strategy for UCAV in Beyond-Visual-Range Air Combat Based on Hierarchical Multi-Objective Evolutionary Algorithm
2020
IEEE Access
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This study deals with the autonomous evasive maneuver strategy of unmanned combat air vehicle (UCAV), which is threatened by a high-performance beyond-visual-range (BVR) air-to-air missile (AAM). ...
A hierarchical multi-objective evolutionary algorithm (HMOEA) is designed to find the approximate Pareto-optimal solutions of the problem. ...
INTRODUCTION With the rapid development of artificial intelligence technology and its in-depth application in the military field, the combat mission of unmanned combat air vehicle (UCAV) has gradually ...
doi:10.1109/access.2020.2978883
fatcat:aikfjualvbefbbz5xc3izqbscu
Artificial Intelligence for Social Impact: Learning and Planning in the Data-to-Deployment Pipeline
2020
The AI Magazine
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In pursuit of this goal of AI for social impact, we as AI researchers must go beyond improvements in computational methodology; it is important to step out in the field to demonstrate social impact. ...
With the maturing of artificial intelligence (AI) and multiagent systems research, we have a tremendous opportunity to direct these advances toward addressing complex societal problems. ...
Given historical videos taken by unmanned aerial vehicle systems, we treat each video frame as an image and collect labels (bounding boxes) for any humans or animals. ...
doi:10.1609/aimag.v41i4.5296
fatcat:7v54x5iadjbv5idp4ebtzugp2q
Distributed Differential Graphical Game for Control of Double-Integrator Multi-Agent Systems with Input Delay
[article]
2024
arXiv
pre-print
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This paper studies cooperative control of noncooperative double-integrator multi-agent systems (MASs) with input delay on connected directed graphs in the context of a differential graphical game (DGG) ...
An illustrative example verifies the explicit solutions of local information to achieve fully distributed consensus. ...
Each agent i ∈ {1, • • • , N }'s nonlinear dynamics is reduced to a double-integrator model as follows using the feedback linearization technique (e.g., see unmanned aerial vehicle (UAV) linearization ...
arXiv:2310.10392v2
fatcat:gond62zwjrgrrjhr3osezwncnu
Collision Free Navigation of a Multi-Robot Team for Intruder Interception
[article]
2018
arXiv
pre-print
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We prove that the proposed decentralised cooperative and non-cooperative game-based decision-making algorithm enables each robot to make the best decision to choose the shortest path with minimum local ...
Furthermore, we propose an intelligent game-based decision-making algorithm (IGD) for a fleet of mobile robots to maximize the probability of detection in a bounded region. ...
Figure 4 . 4 15 : k-intercepting the intruder in a curved region boundary for k=2.
of evasion and pursuit has been a challenging story from eternity. ...
arXiv:1809.02319v1
fatcat:4vgc4g6ckbcmpmvdwpyk2o2axy
Conference Guide [Front matter]
2020
2020 16th International Conference on Control, Automation, Robotics and Vision (ICARCV)
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In the existing literature, many methods have been utilized in solving the pursuit evasion game. ...
of its complementary
between unmanned aerial vehicles (UAVs) and unmanned ground
vehicles (UGVs). ...
In this paper we investigate the resilient consensus problem for multi-agent systems under the specific attack scenarios where the attacker can eavesdrop on initial information of agents among the system ...
doi:10.1109/icarcv50220.2020.9305477
fatcat:4h7gpoj7ljgsrlkjoyw3qcfzxi
Unified behavior framework in discrete event simulation systems
2017
The Journal of Defence Modeling and Simulation: Applications, Methodology, Technology
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abstraction, and the promotion of code reuse. iv ...
This thesis presents the use of the Unified Behavior Framework (UBF) in the Advanced Framework for Simulation, Integration, and Modeling (AFSIM) environment. ...
The views expressed in this article are those of the author and do not reflect the official policy or position of the United States Air Force, Department of Defense, or the U.S. Government. ...
doi:10.1177/1548512916683450
fatcat:3nvnu3ldafggdoq5rhc6zdlol4
Multi-Agent Pursuit of a Faster Evader with Application to Unmanned Aerial Vehicles
2017
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Since Unmanned Aerial Vehicles (UAVs) are increasingly a common platform used in the aforementioned applications, this work focuses only on PEGs with multi-rotor UAVs. ...
The latter is reached by defining a two-pursuer one-evader PEG with three different game structures, which are the Non-Decomposed Game, the Multiple Two-Player Game Decomposition (MTPGD) game, and the ...
Strategies for Unmanned Aerial Vehicles" [RT07] of J. ...
doi:10.11588/heidok.00023062
fatcat:umhxod3ujfe4tojtn4oku46gxu
Organizing and Steering Committees
2005
Sixth IEEE International Workshop on Policies for Distributed Systems and Networks (POLICY'05)
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Next, to all the members of the international program committee and reviewers, who helped us with their expertise and valuable time. ...
We look forward to seeing more results of R&D work on Robotics at ROBOTICA 2010, somewhere in Portugal. ...
We also thank the Pedagogical Research and Support team of EPFL for the detailed evaluation of the e-puck educational performances. We finally thank our students for their constructive feedback. ...
doi:10.1109/policy.2005.20
dblp:conf/policy/X05a
fatcat:kkll4rj33zeolpb6tkjnnk3xoa
Towards Real-Time Distributed Planning in Multi-Robot Systems
2018
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There are two possible architectures for the autonomous control of multi-robot systems. In the centralized architecture, a master controller communicates with all the robots to collect information. ...
We implement the proposed approach in a game setting of two competing teams of drones, defenders and attackers. ...
Other papers on mission planning of unmanned aerial vehicles construct Voronoibased paths from the currently known locations of the threats. ...
doi:10.25781/kaust-2sbxl
fatcat:jsae3rsi6jcyfj3yln6vhqqpw4
ACC 2020 Special Sessions
2020
2020 American Control Conference (ACC)
unpublished
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Weintraub, Meir Pachter, and Eloy Garcia: An introduction to pursuitevasion differential games Shaunak D.Bopardikar: k-Capture in Multi-agent Pursuit Evasion, or the Lion and the Hyenas Meir Pachter: Multi-Player ...
WeB21 Cooperation in Pursuit-evasion Differential Games This session will introduce the basics of pursuit-evasion problems. ...
for control design and development to meet the ever increasing demands on accuracy and speed. ...
doi:10.23919/acc45564.2020.9147456
fatcat:mnruqrq76zawzl73ehhv6xnxbm
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