N. K. Ure

发表

Autonomous Control of Unmanned Combat Air Vehicles: Design of a Multimodal Control and Flight Planning Framework for Agile Maneuvering

G. Inalhan, N. K. Ure, G. Inalhan, 2012, IEEE Control Systems.

Adaptive Planning for Markov Decision Processes with Uncertain Transition Models via Incremental Feature Dependency Discovery

Alborz Geramifard, Jonathan P. How, Girish Chowdhary, 2012, ECML/PKDD.

Measurable Augmented Reality for Prototyping Cyber-Physical Systems

Rajeev J. Surati, N. K. Ure, Yu Fan Chen, 2018 .

Distributed Multi-Agent Persistent Surveillance and Tracking With Health Management

Joshua D. Redding, Matthew A. Vavrina, N. K. Ure, 2011 .

Decentralized control of partially observable Markov decision processes

Jonathan P. How, Mykel J. Kochenderfer, Christopher Amato, 2015, 52nd IEEE Conference on Decision and Control.

Cooperative Interception of a Highly Manoeuvrable Aerial Target

Burak Yuksek, Gokhan Inalhan, Nazim Kemal Ure, 2018 .

Implementing Dynamic Air Transport Slot Trading Through Secure Auction Mechanism

N. K. Ure, G. Inalhan, M. Zanin, 2016 .

Obstacle Identification and Ellipsoidal Decomposition for Fast Motion Planning in Unknown Dynamic Environments

N. K. Ure, Mehmetcan Kaymaz, 2022, 2209.14233.

Vision-based UAV Guidance for Autonomous Landing with Deep Neural Networks

Nazim Kemal Ure, Batuhan Eroglu, Yunus Bicer, 2019, AIAA Scitech 2019 Forum.

Self-Improving Safety Performance of Reinforcement Learning Based Driving with Black-Box Verification Algorithms

N. K. Ure, Resul Dagdanov, Halil Durmus, 2022, ArXiv.

Online heterogeneous multiagent learning under limited communication with applications to forest fire management

Jonathan P. How, N. Kemal Ure, Ali-akbar Agha-mohammadi, 2015, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Health Aware Planning Under Uncertainty for Collaborating Heterogeneous Teams of Mobile Agents

Girish Chowdhary, N. Kemal Ure, John Vian, 2015, Unmanned Syst..

Decentralized control of Partially Observable Markov Decision Processes using belief space macro-actions

Alborz Geramifard, Girish Chowdhary, Mykel J. Kochenderfer, 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).

Experimental Demonstration of Multi-Agent Learning and Planning under Uncertainty for Persistent Missions with Automated Battery Management

Jonathan P. How, Girish Chowdhary, Joshua D. Redding, 2012 .

Scalable, MDP-based planning for multiple, cooperating agents

Jonathan P. How, Joshua D. Redding, N. Kemal Ure, 2012, 2012 American Control Conference (ACC).

Investigating Value of Curriculum Reinforcement Learning in Autonomous Driving Under Diverse Road and Weather Conditions

Nazim Kemal Ure, N. K. Ure, Anil Öztürk, 2021, 2021 IEEE Intelligent Vehicles Symposium Workshops (IV Workshops).

Development of A Stochastic Traffic Environment with Generative Time-Series Models for Improving Generalization Capabilities of Autonomous Driving Agents

N. K. Ure, Mustafa Burak Gunel, U. Yavas, 2020, 2020 IEEE Intelligent Vehicles Symposium (IV).

Switching Control Architecture with Parametric Optimization for Aircraft Upset Recovery

N. Kemal Ure, M. Ugur Akcal, Batuhan Hostas, 2019, Journal of Guidance, Control, and Dynamics.

Deep-learning-based crack detection with applications for the structural health monitoring of gas turbines

Leila Ghasemzadeh, Sahand Vahidnia, N. K. Ure, 2019, Structural Health Monitoring.

Optimized Airborne Collision Avoidance

Jonathan P. How, Girish Chowdhary, Mykel J. Kochenderfer, 2015 .

Measurable Augmented Reality for Prototyping Cyberphysical Systems: A Robotics Platform to Aid the Hardware Prototyping and Performance Testing of Algorithms

Jonathan P. How, Rajeev J. Surati, Nazim Kemal Ure, 2016, IEEE Control Systems.

Health aware stochastic planning for persistent package delivery missions using quadrotors

Jonathan P. How, N. Kemal Ure, Ali-akbar Agha-mohammadi, 2014, 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Decentralized State-Dependent Markov Chain Synthesis for Swarm Guidance pdf

Nazim Kemal Ure, Samet Uzun, N. K. Ure, 2020, ArXiv.

A Probabilistic Guidance Approach to Swarm-to-Swarm Engagement Problem pdf

Nazim Kemal Ure, Samet Uzun, N. K. Ure, 2020, ArXiv.

Decentralized learning-based planning for multiagent missions in the presence of actuator failures

Jonathan P. How, Girish Chowdhary, Mark Cutler, 2013, 2013 International Conference on Unmanned Aircraft Systems (ICUAS).

Comparison of Fixed and Variable Pitch Actuators for Agile Quadrotors

Jonathan P. How, N. K. Ure, Bernard Michini, 2011 .

Localization and tracking of RF emitting targets with multiple unmanned aerial vehicles in large scale environments with uncertain transmitter power

N. Kemal Ure, Gokhan Inalhan, Ramazan Yeniceri, 2017, 2017 International Conference on Unmanned Aircraft Systems (ICUAS).

Decision Making Under Uncertainty: Theory and Application

Jonathan P. How, Girish Chowdhary, Mykel J. Kochenderfer, 2015 .

Enhancing Situational Awareness and Performance of Adaptive Cruise Control through Model Predictive Control and Deep Reinforcement Learning

N. Kemal Ure, Ali Alizadeh, M. Ugur Yavas, 2019, 2019 IEEE Intelligent Vehicles Symposium (IV).

An Automated Battery Management System to Enable Persistent Missions With Multiple Aerial Vehicles

Jonathan P. How, Girish Chowdhary, N. Kemal Ure, 2015, IEEE/ASME Transactions on Mechatronics.

Automated Lane Change Decision Making using Deep Reinforcement Learning in Dynamic and Uncertain Highway Environment

Nazim Kemal Ure, Ali Alizadeh, Majid Moghadam, 2019, 2019 IEEE Intelligent Transportation Systems Conference (ITSC).

DeFIX: Detecting and Fixing Failure Scenarios with Reinforcement Learning in Imitation Learning Based Autonomous Driving

N. K. Ure, Resul Dagdanov, Halil Durmus, 2022, 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC).

Design of higher order sliding mode control laws for a multi modal agile maneuvering UCAV

G. Inalhan, N. K. Ure, N.K. Ure, 2008, 2008 2nd International Symposium on Systems and Control in Aerospace and Astronautics.

Experimental Results of Concurrent Learning Adaptive Controllers

Jonathan P. How, Girish Chowdhary, Nazim Kemal Ure, 2012 .

IQ-Flow: Mechanism Design for Inducing Cooperative Behavior to Self-Interested Agents in Sequential Social Dilemmas

N. K. Ure, Bengisu Guresti, Abdullah Vanlioglu, 2023, AAMAS.

Autolanding control system design with deep learning based fault estimation

Nazim Kemal Ure, Batuhan Eroglu, M. Cagatay Sahin, 2020 .

Scalable Planning and Learning Framework Development for Swarm-to-Swarm Engagement Problems

N. K. Ure, Gulay Goktas Sever, A. Satir, 2022, AIAA SCITECH 2023 Forum.

Evaluating Generalization and Transfer Capacity of Multi-Agent Reinforcement Learning Across Variable Number of Agents pdf

Nazim Kemal Ure, N. K. Ure, Bengisu Guresti, 2021, ArXiv.

Hybrid systems modeling and automated air traffic control for three-dimensional separation assurance

Gokhan Inalhan, Baris Baspinar, N. K. Ure, 2016 .

Infrastructure Development for Ground-Based Separation Assurance with Optional Automation

Gökhan Inalhan, Baris Baspinar, N. K. Ure, 2015, ATACCS '15.

Health Aware Planning under uncertainty for UAV missions with heterogeneous teams

Jonathan P. How, Girish Chowdhary, N. Kemal Ure, 2013, 2013 European Control Conference (ECC).

PURSUhInT: In Search of Informative Hint Points Based on Layer Clustering for Knowledge Distillation

N. K. Ure, Reyhan Kevser Keser, O. A. Aghdam, 2021, Expert Syst. Appl..

Edge on Wheels With OMNIBUS Networking for 6G Technology

Mustafa Ergen, Azizul Azizan, Feride Inan, 2020, IEEE Access.

Sample Efficient Interactive End-to-End Deep Learning for Self-Driving Cars with Selective Multi-Class Safe Dataset Aggregation

Ahmetcan Erdogan, Yunus Bicer, Ali Alizadeh, 2019, 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

A New Approach for Tactical Decision Making in Lane Changing: Sample Efficient Deep Q Learning with a Safety Feedback Reward

Tufan Kumbasar, N. Kemal Ure, M. Ugur Yavas, 2020, 2020 IEEE Intelligent Vehicles Symposium (IV).

Analysis of Delay Characteristics of European Air Traffic through a Data-Driven Airport-Centric Queuing Network Model

N. Kemal Ure, Gokhan Inalhan, Emre Koyuncu, 2016 .

Fault tolerant heading control system design for Turac unmanned aerial vehicle

Burak Yuksek, Gokhan Inalhan, N. Kemal Ure, 2017 .

Optimization of Allocation and Launch Conditions of Multiple Missiles for Three-Dimensional Collaborative Interception of Ballistic Targets

Burak Yuksek, N. Kemal Ure, N. K. Ure, 2016 .

Planning for large-scale multiagent problems via hierarchical decomposition with applications to UAV health management

Jonathan P. How, Girish Chowdhary, N. Kemal Ure, 2014, 2014 American Control Conference.

Distributed Learning for Planning Under Uncertainty Problems with Heterogeneous Teams

Girish Chowdhary, John Vian, N. K. Ure, 2013, J. Intell. Robotic Syst..

Cooperative Visual Inertial Odometry for Heterogeneous Swarm of Drones Navigating in Noisy Environments

Kamil Canberk Atik, N. K. Ure, B. Yalcin, 2022, 2022 IEEE 31st International Symposium on Industrial Electronics (ISIE).

GAN-based Intrinsic Exploration for Sample Efficient Reinforcement Learning

Gözde B. Ünal, N. K. Ure, Dogay Kamar, 2022, ICAART.

Distributed learning for large-scale planning under uncertainty problems with heterogeneous teams

Jonathan P. How, Girish Chowdhary, Nazim Kemal Ure, 2013 .

A Real-World Reinforcement Learning Framework for Safe and Human-Like Tactical Decision-Making

N. K. Ure, T. Kumbasar, M. U. Yavas, 2023, IEEE Transactions on Intelligent Transportation Systems.

Beyond Traditional DoE: Deep Reinforcement Learning for Optimizing Experiments in Model Identification of Battery Dynamics

N. K. Ure, Gokhan Budan, Francesca Damiani, 2023, SSRN Electronic Journal.

Reinforcement Learning Based Self-play and State Stacking Techniques for Noisy Air Combat Environment

N. K. Ure, S. O. Sahin, A. Tasbas, 2023, AIAA SCITECH 2023 Forum.

Nonlinear Model Based Guidance with Deep Learning Based Target Trajectory Prediction Against Aerial Agile Attack Patterns

N. Kemal Ure, N. K. Ure, A. Sadik Satir, 2021, 2021 American Control Conference (ACC).

Genetic-Algorithm-Aided Deep Reinforcement Learning for Multi-Agent Drone Delivery

N. K. Ure, F. A. Tarhan, 2024, Drones.

Feasible Agile Maneuver Identification and Generation Algorithms on Multi Modal Control Framework

Gokhan Inalhan, N. Kemal Ure, N. K. Ure, 2009 .

Design of a multi modal control framework for agile maneuvering UCAV

Gokhan Inalhan, N. K. Ure, Nazim Kemal Ure, 2009, 2009 IEEE Aerospace conference.

Integration of Path/Maneuver Planning in Complex Environments for Agile Maneuvering UCAVs

Gökhan Inalhan, N. Kemal Ure, Emre Koyuncu, 2010, J. Intell. Robotic Syst..

Model-Based Reinforcement Learning for Advanced Adaptive Cruise Control: A Hybrid Car Following Policy

N. K. Ure, T. Kumbasar, M. U. Yavas, 2022, 2022 IEEE Intelligent Vehicles Symposium (IV).

Autonomous Execution of Aircraft Supermaneuvers with Switching Nonlinear Backstepping Control

Gokhan Inalhan, Nazim Kemal Ure, N. K. Ure, 2018 .