Scalable Multi-Agent Computational Guidance with Separation Assurance for Autonomous Urban Air Mobility
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[1] B. Faverjon,et al. Probabilistic Roadmaps for Path Planning in High-Dimensional Con(cid:12)guration Spaces , 1996 .
[2] Kenneth H. Goodrich,et al. Enabling Airspace Integration for High-Density On-Demand Mobility Operations , 2017 .
[3] Mykel J. Kochenderfer,et al. Deep Neural Network Compression for Aircraft Collision Avoidance Systems , 2018, Journal of Guidance, Control, and Dynamics.
[4] Guodong Zhu,et al. Pre-Departure Planning for Urban Air Mobility Flights with Dynamic Airspace Reservation , 2019 .
[5] Emilio Frazzoli,et al. Sampling-based algorithms for optimal motion planning , 2011, Int. J. Robotics Res..
[6] M. Hossein Mansur,et al. A Practical Approach to Obstacle Field Route Planning for Unmanned Rotorcraft , 2004 .
[7] Hyochoong Bang,et al. Proportional navigation-based collision avoidance for UAVs , 2009 .
[8] B. Moor,et al. Mixed integer programming for multi-vehicle path planning , 2001, 2001 European Control Conference (ECC).
[9] Maria Consiglio,et al. DAIDALUS: Detect and avoid alerting logic for unmanned systems , 2015, 2015 IEEE/AIAA 34th Digital Avionics Systems Conference (DASC).
[10] A. Richards,et al. Decentralized model predictive control of cooperating UAVs , 2004, 2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601).
[11] Demis Hassabis,et al. Mastering the game of Go without human knowledge , 2017, Nature.
[12] Michael D. Patterson,et al. System-Level Urban Air Mobility Transportation Modeling and Determination of Energy-Related Constraints , 2018, 2018 Aviation Technology, Integration, and Operations Conference.
[13] E. Feron,et al. Resolution of Conflicts Involving Many Aircraft via Semidefinite Programming , 2001 .
[14] Colin Camerer. Behavioral Game Theory: Experiments in Strategic Interaction , 2003 .
[15] Jonathan P. How,et al. Decentralized path planning for multi-agent teams in complex environments using rapidly-exploring random trees , 2011, 2011 IEEE International Conference on Robotics and Automation.
[16] Jonathan P. How,et al. Decentralized non-communicating multiagent collision avoidance with deep reinforcement learning , 2016, 2017 IEEE International Conference on Robotics and Automation (ICRA).
[17] Rémi Coulom,et al. Computing "Elo Ratings" of Move Patterns in the Game of Go , 2007, J. Int. Comput. Games Assoc..
[18] Sergey Levine,et al. PLATO: Policy learning using adaptive trajectory optimization , 2016, 2017 IEEE International Conference on Robotics and Automation (ICRA).
[19] Simon M. Lucas,et al. A Survey of Monte Carlo Tree Search Methods , 2012, IEEE Transactions on Computational Intelligence and AI in Games.
[20] Sheng Li,et al. Optimizing Collision Avoidance in Dense Airspace using Deep Reinforcement Learning , 2019, ArXiv.
[21] Rémi Coulom,et al. Efficient Selectivity and Backup Operators in Monte-Carlo Tree Search , 2006, Computers and Games.
[22] Mykel J. Kochenderfer,et al. Robust Airborne Collision Avoidance through Dynamic Programming , 2011 .
[23] Josh Bertram,et al. Distributed Computational Guidance for High-Density Urban Air Mobility with Cooperative and Non-Cooperative Collision Avoidance , 2020, AIAA Scitech 2020 Forum.
[24] John-Paul Clarke,et al. A mixed integer program for flight-level assignment and speed control for conflict resolution , 2009, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference.
[25] A. Shwartz,et al. Handbook of Markov decision processes : methods and applications , 2002 .
[26] Antonio A. Trani,et al. Preliminary Considerations for ODM Air Traffic Management based on Analysis of Commuter Passenger Demand and Travel Patterns for the Silicon Valley Region of California , 2017 .
[27] Mykel J. Kochenderfer,et al. Aircraft Collision Avoidance Using Monte Carlo Real-Time Belief Space Search , 2011, J. Intell. Robotic Syst..
[28] Roland Siegwart,et al. Introduction to Autonomous Mobile Robots , 2004 .
[29] Aníbal Ollero,et al. Path planning based on Genetic Algorithms and the Monte-Carlo method to avoid aerial vehicle collisions under uncertainties , 2011, 2011 IEEE International Conference on Robotics and Automation.
[30] Vijay Kumar,et al. Mixed-integer quadratic program trajectory generation for heterogeneous quadrotor teams , 2012, 2012 IEEE International Conference on Robotics and Automation.
[31] Jonathan P. How,et al. Aircraft trajectory planning with collision avoidance using mixed integer linear programming , 2002, Proceedings of the 2002 American Control Conference (IEEE Cat. No.CH37301).
[32] Bart De Schutter,et al. Multi-agent Reinforcement Learning: An Overview , 2010 .
[33] Michal Pechoucek,et al. Multi-agent RRT: sampling-based cooperative pathfinding , 2013, AAMAS.
[34] Jan H. van Schuppen. Jump linear systems in automatic control : M. Mariton , 1992, Autom..
[35] Dinesh Manocha,et al. Reciprocal n-Body Collision Avoidance , 2011, ISRR.
[36] Shahab Hasan,et al. JPDO Case Study of NextGen High Density Operations , 2009 .
[37] D. Stahl,et al. On Players' Models of Other Players: Theory and Experimental Evidence , 1995 .
[38] D. J. White,et al. A Survey of Applications of Markov Decision Processes , 1993 .
[39] Jonathan P. How,et al. Decision Making Under Uncertainty: Theory and Application , 2015 .
[40] Bruce A. Conway,et al. Discrete approximations to optimal trajectories using direct transcription and nonlinear programming , 1992 .
[41] Steven L. Waslander,et al. The Stanford testbed of autonomous rotorcraft for multi agent control (STARMAC) , 2004, The 23rd Digital Avionics Systems Conference (IEEE Cat. No.04CH37576).
[42] Craig Boutilier,et al. Decision-Theoretic Planning: Structural Assumptions and Computational Leverage , 1999, J. Artif. Intell. Res..
[43] Groupe Pdmia. Markov Decision Processes In Artificial Intelligence , 2009 .
[44] Stephen P. Cook,et al. A Quantitative Metric to Enable Unmanned Aircraft Systems to Remain Well Clear , 2015 .
[45] S. Kahne,et al. Air traffic management: evolution with technology , 1996 .
[46] Min-Jea Tahk,et al. UAV collision avoidance based on geometric approach , 2008, 2008 SICE Annual Conference.
[47] Lorenz T. Biegler,et al. Dynamic Optimization Strategies for Three-Dimensional Conflict Resolution of Multiple Aircraft , 2004 .
[48] Bruce A. Conway,et al. Particle Swarm Optimization Applied to Space Trajectories , 2010 .
[49] D. Koditschek,et al. Robot navigation functions on manifolds with boundary , 1990 .
[50] James K. Kuchar,et al. A review of conflict detection and resolution modeling methods , 2000, IEEE Trans. Intell. Transp. Syst..
[51] Fast-Forwarding to a Future of On-Demand Urban Air Transportation , 2016 .
[52] Jan Willemson,et al. Improved Monte-Carlo Search , 2006 .
[53] Henk A. P. Blom,et al. Mathematical Models for Air Traffic Conflict and Collision Probability Estimation , 2019, IEEE Transactions on Intelligent Transportation Systems.
[54] Mark Peters,et al. A DECENTRALIZED CONTROL STRATEGY FOR DISTRIBUTED AIR/GROUND TRAFFIC SEPARATION , 2000 .
[55] S. LaValle. Rapidly-exploring random trees : a new tool for path planning , 1998 .
[56] Parimal Kopardekar,et al. Distributed Air/Ground Traffic Management - Technology and Concept Demonstration Report , 2002 .
[57] S. Shankar Sastry,et al. Conflict resolution for air traffic management: a study in multiagent hybrid systems , 1998, IEEE Trans. Autom. Control..
[58] J. Brian Burns,et al. Path planning using Laplace's equation , 1990, Proceedings., IEEE International Conference on Robotics and Automation.
[59] Jia Liu,et al. Multi-Agent Autonomous Operations in Urban Air Mobility with Communication Constraints , 2020 .
[60] Paul Lee,et al. Joint NASA Ames/Langley Experimental Evaluation of Integrated Air/Ground Operations for En Route Free Maneuvering , 2005 .
[61] H. Jaap van den Herik,et al. Progressive Strategies for Monte-Carlo Tree Search , 2008 .
[62] J. Nash. Equilibrium Points in N-Person Games. , 1950, Proceedings of the National Academy of Sciences of the United States of America.
[63] Ronald A. Howard,et al. Dynamic Programming and Markov Processes , 1960 .
[64] Dou Long,et al. Air Transportation Strategic Trade Space Modeling and Assessment Through Analysis of On-Demand Air Mobility with Electric Aircraft , 2012 .
[65] Demis Hassabis,et al. Mastering the game of Go with deep neural networks and tree search , 2016, Nature.
[66] Mykel J. Kochenderfer,et al. Policy compression for aircraft collision avoidance systems , 2016, 2016 IEEE/AIAA 35th Digital Avionics Systems Conference (DASC).
[67] Demis Hassabis,et al. Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm , 2017, ArXiv.
[68] Marcus Johnson,et al. Unmanned Aircraft System Traffic Management (UTM) Concept of Operations , 2016 .
[69] 韓國航空大學 航空 械工學科. 美聯邦航空廳(Federal Aviation Administration)의 航空機 製作檢査 制度의 現況 , 1979 .
[70] Craig Boutilier,et al. Sequential Optimality and Coordination in Multiagent Systems , 1999, IJCAI.
[71] Antonio Bicchi,et al. Conflict resolution problems for air traffic management systems solved with mixed integer programming , 2002, IEEE Trans. Intell. Transp. Syst..
[72] Paul W. Goldberg,et al. The complexity of computing a Nash equilibrium , 2006, STOC '06.
[73] Angela P. Schoellig,et al. Generation of collision-free trajectories for a quadrocopter fleet: A sequential convex programming approach , 2012, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[74] Craig Boutilier,et al. Planning, Learning and Coordination in Multiagent Decision Processes , 1996, TARK.
[75] Rafael Apaza,et al. Urban Air Mobility Airspace Integration Concepts and Considerations , 2018, 2018 Aviation Technology, Integration, and Operations Conference.
[76] Brian T. Baxley,et al. Safety Performance of Airborne Separation: Preliminary Baseline Testing , 2007 .
[77] Josh Bertram,et al. An Efficient Algorithm for Self-Organized Terminal Arrival in Urban Air Mobility , 2020 .
[78] Hendrikus G. Visser,et al. Cost-Benefit Study of Free Flight with Airborne Separation Assurance , 2001 .
[79] Gerald Tesauro,et al. On-line Policy Improvement using Monte-Carlo Search , 1996, NIPS.
[80] Martin L. Puterman,et al. Markov Decision Processes: Discrete Stochastic Dynamic Programming , 1994 .
[81] Thomas R. Ioerger,et al. Automated Conflict Resolution for Air Trac Management Using Cooperative Multiagent Negotiation , 2004 .
[82] Rémi Munos,et al. Algorithms for Infinitely Many-Armed Bandits , 2008, NIPS.
[83] Leslie Pack Kaelbling,et al. Collision Avoidance for Unmanned Aircraft using Markov Decision Processes , 2010 .
[84] R. Bellman. A Markovian Decision Process , 1957 .
[85] Eric Feron,et al. Decentralized Cooperative Trajectory Planning of Multiple Aircraft with Hard Safety Guarantees , 2004 .
[86] Mykel J. Kochenderfer,et al. Neural Network Guidance for UAVs , 2017 .
[87] Valentin Polishchuk,et al. Geometric Approach Towards Airspace Assessment for Emerging Operations , 2020 .
[88] S. Shankar Sastry,et al. Decentralized nonlinear model predictive control of multiple flying robots , 2003, 42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475).
[89] John Canny,et al. The complexity of robot motion planning , 1988 .
[90] Mykel J. Kochenderfer,et al. Markov Decision Process-Based Distributed Conflict Resolution for Drone Air Traffic Management , 2017 .
[91] Lillian Gipson. NASA Embraces Urban Air Mobility, Calls for Market Study , 2017 .
[92] D. Stahl,et al. Experimental evidence on players' models of other players , 1994 .
[93] Michael D. Patterson,et al. A Proposed Approach to Studying Urban Air Mobility Missions Including an Initial Exploration of Mission Requirements , 2018 .
[94] J Wing David,et al. Airborne Use of Traffic Intent Information in a Distributed Air-Ground Traffic Management Concept: Experiment Design and Preliminary Results , 2001 .
[95] Kenneth H. Goodrich,et al. High Speed Mobility Through On-Demand Aviation , 2013 .
[96] Antonio Bicchi,et al. Probabilistic verification of a decentralized policy for conflict resolution in multi-agent systems , 2006, Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006..
[97] C. Tomlin,et al. Decentralized optimization, with application to multiple aircraft coordination , 2002, Proceedings of the 41st IEEE Conference on Decision and Control, 2002..
[98] Joseph Post,et al. Assessing the Benefits of NextGen Performance-Based Navigation , 2013 .
[99] Mykel J. Kochenderfer,et al. Next-Generation Airborne Collision Avoidance System , 2012 .
[100] Kapil Sheth,et al. Performance evaluation of airborne separation assurance for free flight , 2000 .
[101] Peng Wei,et al. eVTOL Arrival Sequencing and Scheduling for On-Demand Urban Air Mobility , 2018, 2018 IEEE/AIAA 37th Digital Avionics Systems Conference (DASC).
[102] Robert A. Vivona,et al. Autonomous Operations Planner: A Flexible Platform for Research in Flight-Deck Support for Airborne Self-Separation , 2012 .
[103] Eugene A. Feinberg,et al. Handbook of Markov Decision Processes , 2002 .
[104] Marcel Mongeau,et al. Aircraft Conflict Resolution by Genetic Algorithm and B-Spline Approximation , 2010 .
[105] Jaewoo Jung,et al. Applying Required Navigation Performance Concept for Traffic Management of Small Unmanned Aircraft Systems , 2016 .
[106] Christabelle S. Bosson,et al. Simulation Evaluations of an Autonomous Urban Air Mobility Network Management and Separation Service , 2018, 2018 Aviation Technology, Integration, and Operations Conference.
[107] Maria Consiglio,et al. ICAROUS: Integrated configurable algorithms for reliable operations of unmanned systems , 2016, 2016 IEEE/AIAA 35th Digital Avionics Systems Conference (DASC).
[108] Xuxi Yang. Autonomous On-Demand Free Flight Operations in Urban Air Mobility using Monte Carlo Tree Search , 2018 .
[109] Raffaello D'Andrea,et al. Theory and implementation of path planning by negotiation for decentralized agents , 2008, Robotics Auton. Syst..
[110] Jacco M. Hoekstra,et al. Designing for safety: the 'free flight' air traffic management concept , 2002, Reliab. Eng. Syst. Saf..
[111] Peng Wei,et al. Energy Optimal Speed Profile for Arrival of Tandem Tilt-Wing eVTOL Aircraft with RTA Constraint , 2018, 2018 IEEE CSAA Guidance, Navigation and Control Conference (CGNCC).
[112] Sebastian Thrun,et al. Probabilistic robotics , 2002, CACM.
[113] Daniel E. Koditschek,et al. Exact robot navigation using cost functions: the case of distinct spherical boundaries in E/sup n/ , 1988, Proceedings. 1988 IEEE International Conference on Robotics and Automation.
[114] S. Sastry,et al. An Evasive Maneuvering Algorithm for UAVs in See-and-Avoid Situations , 2007, 2007 American Control Conference.
[115] Henk A. P. Blom,et al. Safety Evaluation of Advanced Self-Separation Under Very High En Route Traffic Demand , 2015, J. Aerosp. Inf. Syst..
[116] Fedja Netjasov,et al. A review of research on risk and safety modelling in civil aviation , 2008 .
[117] Nataliya Sokolovska,et al. Continuous Upper Confidence Trees , 2011, LION.
[118] Soon-Jo Chung,et al. Decentralized Model Predictive Control of Swarms of Spacecraft Using Sequential Convex Programming , 2013 .
[119] Peng Wei,et al. Heuristic Approach for Arrival Sequencing and Scheduling for eVTOL Aircraft in On-Demand Urban Air Mobility , 2018, 2018 IEEE/AIAA 37th Digital Avionics Systems Conference (DASC).
[120] Peng Wei,et al. Autonomous Separation Assurance in An High-Density En Route Sector: A Deep Multi-Agent Reinforcement Learning Approach , 2019, 2019 IEEE Intelligent Transportation Systems Conference (ITSC).