Erdal Kayacan
Orcid: 0000-0002-7143-8777
According to our database1,
Erdal Kayacan
authored at least 116 papers
between 2007 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
CoRR, 2024
2023
CAMETA: Conflict-Aware Multi-Agent Estimated Time of Arrival Prediction for Mobile Robots.
IROS, 2023
IROS, 2023
Visual Tracking Nonlinear Model Predictive Control Method for Autonomous Wind Turbine Inspection.
Proceedings of the 21st International Conference on Advanced Robotics, 2023
UNav-Sim: A Visually Realistic Underwater Robotics Simulator and Synthetic Data-Generation Framework.
Proceedings of the 21st International Conference on Advanced Robotics, 2023
Vessel Inspection In-the-wild: Practical Planning in Large-scale Industrial Environments.
Proceedings of the American Control Conference, 2023
2022
Sim-to-Real Deep Reinforcement Learning for Safe End-to-End Planning of Aerial Robots.
Robotics, 2022
PencilNet: Zero-Shot Sim-to-Real Transfer Learning for Robust Gate Perception in Autonomous Drone Racing.
IEEE Robotics Autom. Lett., 2022
ANN-Based vibration control of an aerial refueling hose system with input nonlinearity and prescribed output constraint.
J. Frankl. Inst., 2022
UAV Trajectory Evaluation in Large Industrial Environments: A Cost-Effective Solution.
Proceedings of the European Control Conference, 2022
Event-based Navigation for Autonomous Drone Racing with Sparse Gated Recurrent Network.
Proceedings of the European Control Conference, 2022
2021
IEEE Trans. Artif. Intell., 2021
IEEE Robotics Autom. Lett., 2021
On the Advantages of Multiple Stereo Vision Camera Designs for Autonomous Drone Navigation.
CoRR, 2021
Distributed nonlinear model predictive control of an autonomous tractor-trailer system.
CoRR, 2021
Towards Agrobots: Trajectory Control of an Autonomous Tractor Using Type-2 Fuzzy Logic Controllers.
CoRR, 2021
Robust Tube-Based Decentralized Nonlinear Model Predictive Control of an Autonomous Tractor-Trailer System.
CoRR, 2021
GateNet: An Efficient Deep Neural Network Architecture for Gate Perception Using Fish-Eye Camera in Autonomous Drone Racing.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021
Real-Time Volumetric-Semantic Exploration and Mapping: An Uncertainty-Aware Approach.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
Safe Vessel Navigation Visually Aided by Autonomous Unmanned Aerial Vehicles in Congested Harbors and Waterways.
Proceedings of the 17th IEEE International Conference on Automation Science and Engineering, 2021
Receding Horizon-based Fault-tolerant Control of QuadPlus: an Over-actuated Quadrotor.
Proceedings of the 17th IEEE International Conference on Automation Science and Engineering, 2021
2020
IEEE Trans. Fuzzy Syst., 2020
An Intelligent Hybrid Artificial Neural Network-Based Approach for Control of Aerial Robots.
J. Intell. Robotic Syst., 2020
Autonomous aerial cinematography in unstructured environments with learned artistic decision-making.
J. Field Robotics, 2020
Robust Tracking Control of Aerial Robots Via a Simple Learning Strategy-Based Feedback Linearization.
IEEE Access, 2020
UAV-AdNet: Unsupervised Anomaly Detection using Deep Neural Networks for Aerial Surveillance.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Deep Reinforcement Learning for Motion Planning of Quadrotors Using Raw Depth Images.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
How to Address Uncertainty in Smaller, Faster, More Agile, Yet Safer Drones?
Proceedings of the 12th International Joint Conference on Computational Intelligence, 2020
Redundancy Resolution based Trajectory Generation for Dual-Arm Aerial Manipulators via Online Model Predictive Control.
Proceedings of the 46th Annual Conference of the IEEE Industrial Electronics Society, 2020
AU-AIR: A Multi-modal Unmanned Aerial Vehicle Dataset for Low Altitude Traffic Surveillance.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020
Gaussian Process-based Learning Control of Aerial Robots for Precise Visualization of Geological Outcrops.
Proceedings of the 18th European Control Conference, 2020
2019
J. Intell. Robotic Syst., 2019
Visual tracking with online structural similarity-based weighted multiple instance learning.
Inf. Sci., 2019
CoRR, 2019
Appl. Soft Comput., 2019
A constrained instantaneous learning approach for aerial package delivery robots: onboard implementation and experimental results.
Auton. Robots, 2019
Auton. Robots, 2019
Can a Robot Become a Movie Director? Learning Artistic Principles for Aerial Cinematography.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019
Proceedings of the Fuzzy Techniques: Theory and Applications, 2019
Online Deep Learning for Improved Trajectory Tracking of Unmanned Aerial Vehicles Using Expert Knowledge.
Proceedings of the International Conference on Robotics and Automation, 2019
A Novel Non-Iterative Parameter Estimation Method for Interval Type-2 Fuzzy Neural Networks Based on a Dynamic Cost Function.
Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019
Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019
Knowledge Transfer Between Robots with Similar Dynamics for High-Accuracy Impromptu Trajectory Tracking.
Proceedings of the 17th European Control Conference, 2019
A Multi-Task Velocity-Based Redundancy Resolution Strategy for Unmanned Aerial Manipulators.
Proceedings of the 17th European Control Conference, 2019
Planning Swift Maneuvers of Quadcopter Using Motion Primitives Explored by Reinforcement Learning.
Proceedings of the 2019 American Control Conference, 2019
2018
Type-2 Fuzzy Logic Controllers Made Even Simpler: From Design to Deployment for UAVs.
IEEE Trans. Ind. Electron., 2018
Hybrid Learning for Interval Type-2 Intuitionistic Fuzzy Logic Systems as Applied to Identification and Prediction Problems.
IEEE Trans. Fuzzy Syst., 2018
An aerial robot for rice farm quality inspection with type-2 fuzzy neural networks tuned by particle swarm optimization-sliding mode control hybrid algorithm.
Swarm Evol. Comput., 2018
Faster RRT-based Nonholonomic Path Planning in 2D Building Environments Using Skeleton-constrained Path Biasing.
J. Intell. Robotic Syst., 2018
Eng. Appl. Artif. Intell., 2018
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018
A Simple Learning Strategy for Feedback Linearization Control of Aerial Package Delivery Robot.
Proceedings of the IEEE Conference on Control Technology and Applications, 2018
Reconfigurable Fault-tolerant NMPC for Y6 Coaxial Tricopter with Complete Loss of One Rotor.
Proceedings of the IEEE Conference on Control Technology and Applications, 2018
Online Learning-based Receding Horizon Control of Tilt-rotor Tricopter: A Cascade Implementation.
Proceedings of the 2018 Annual American Control Conference, 2018
2017
Inf. Sci., 2017
Tracking-recommendation-detection: A novel online target modeling for visual tracking.
Eng. Appl. Artif. Intell., 2017
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017
Interval type-2 fuzzy-neuro control of nonlinear systems with proved overall system stability.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017
A novel complexity reduced Levenberge-Marquardt algorithm: Application to the training of interval type-2 fuzzy systems.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017
Elliptic membership functions and the modeling uncertainty in type-2 fuzzy logic systems as applied to time series prediction.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017
2016
Sensors, 2016
Commun. Nonlinear Sci. Numer. Simul., 2016
A novel method for 3D reconstruction: Division and merging of overlapping B-spline surfaces.
Comput. Aided Des., 2016
Appl. Soft Comput., 2016
Recoverable recommended keypoint-aware visual tracking using coupled-layer appearance modelling.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016
Recommended keypoint-aware tracker: Adaptive real-time visual tracking using consensus feature prior ranking.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016
Proceedings of the 14th International Conference on Control, 2016
Proceedings of the 14th International Conference on Control, 2016
Proceedings of the 14th International Conference on Control, 2016
Proceedings of the 14th International Conference on Control, 2016
Design and experimental validation of single input type-2 fuzzy PID controllers as applied to 3 DOF helicopter testbed.
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016
A comparative study on the control of quadcopter UAVs by using singleton and non-singleton fuzzy logic controllers.
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016
Game of drones: UAV pursuit-evasion game with type-2 fuzzy logic controllers tuned by reinforcement learning.
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016
Y6 tricopter autonomous evacuation in an Indoor Environment using Q-learning algorithm.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016
An experimental evaluation of the forward propagating Riccati equation to nonlinear control of the Quanser 3 DOF Hover testbed.
Proceedings of the 2016 American Control Conference, 2016
Centralized, decentralized and distributed nonlinear model predictive control of a tractor-trailer system: A comparative study.
Proceedings of the 2016 American Control Conference, 2016
2015
Identification of Nonlinear Dynamic Systems Using Type-2 Fuzzy Neural Networks - A Novel Learning Algorithm and a Comparative Study.
IEEE Trans. Ind. Electron., 2015
Feedback Error Learning Control of Magnetic Satellites Using Type-2 Fuzzy Neural Networks With Elliptic Membership Functions.
IEEE Trans. Cybern., 2015
Learning in Centralized Nonlinear Model Predictive Control: Application to an Autonomous Tractor-Trailer System.
IEEE Trans. Control. Syst. Technol., 2015
Towards agrobots: Identification of the yaw dynamics and trajectory tracking of an autonomous tractor.
Comput. Electron. Agric., 2015
Performance evaluation of adaptive and nonadaptive fuzzy structures for 4D trajectory tracking of quadrotors: A comparative study.
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015
Levenberg-Marquardt training method for Type-2 fuzzy neural networks and its stability analysis.
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015
Stabilization of type-2 fuzzy Takagi-Sugeno-Kang identifier using Lyapunov functions.
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015
2014
Proceedings of the 13th International Conference on Control Automation Robotics & Vision, 2014
2013
Adaptive Neuro-Fuzzy Control of a Spherical Rolling Robot Using Sliding-Mode-Control-Theory-Based Online Learning Algorithm.
IEEE Trans. Cybern., 2013
J. Frankl. Inst., 2013
Sliding mode type-2 fuzzy control of robotic arm using ellipsoidal membership functions.
Proceedings of the 9th Asian Control Conference, 2013
Proceedings of the 9th Asian Control Conference, 2013
2012
Extended Kalman Filter Based Learning Algorithm for Type-2 Fuzzy Logic Systems and Its Experimental Evaluation.
IEEE Trans. Ind. Electron., 2012
Sliding Mode Control Approach for Online Learning as Applied to Type-2 Fuzzy Neural Networks and Its Experimental Evaluation.
IEEE Trans. Ind. Electron., 2012
Neuro-Fuzzy Control with a Novel Training Method Based-On Sliding Mode Control Theory: Application to Tractor Dynamics.
Proceedings of the 10th IFAC Symposium on Robot Control, SyRoCo 2012, Dubrovnik, Croatia, 2012
Velocity Control of a Spherical Rolling Robot Using a Grey-PID Type Fuzzy Controller with an Adaptive Step Size.
Proceedings of the 10th IFAC Symposium on Robot Control, SyRoCo 2012, Dubrovnik, Croatia, 2012
A robust on-line learning algorithm for type-2 fuzzy neural networks and its experimental evaluation on an autonomous tractor.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012
Intelligent control of a tractor-implement system using type-2 fuzzy neural networks.
Proceedings of the FUZZ-IEEE 2012, 2012
2011
Analysis of the Noise Reduction Property of Type-2 Fuzzy Logic Systems Using a Novel Type-2 Membership Function.
IEEE Trans. Syst. Man Cybern. Part B, 2011
Neuro-fuzzy control of antilock braking system using sliding mode incremental learning algorithm.
Neurocomputing, 2011
Single-step ahead prediction based on the principle of concatenation using grey predictors.
Expert Syst. Appl., 2011
A servo system control with time-varying and nonlinear load conditions using type-2 TSK fuzzy neural system.
Appl. Soft Comput., 2011
Levenberg marquardt algorithm for the training of type-2 fuzzy neuro systems with a novel type-2 fuzzy membership function.
Proceedings of the 2011 IEEE Symposium on Advances in Type-2 Fuzzy Logic Systems, 2011
A novel training method based on variable structure systems approach for interval type-2 fuzzy neural networks.
Proceedings of the 2011 IEEE Symposium on Advances in Type-2 Fuzzy Logic Systems, 2011
A novel training method based on variable structure systems theory for fuzzy neural networks.
Proceedings of the IEEE Symposium on Computational Intelligence in Control and Automation, 2011
2010
Design of an adaptive interval type-2 fuzzy logic controller for the position control of a servo system with an intelligent sensor.
Proceedings of the FUZZ-IEEE 2010, 2010
Neuro-adaptive approach for controlling a quad-rotor helicopter using sliding mode learning algorithm.
Proceedings of the 10th IFAC International Workshop on the Adaptation and Learning in Control and Signal Processing, 2010
2009
A Dynamic Method to Forecast the Wheel Slip for Antilock Braking System and Its Experimental Evaluation.
IEEE Trans. Syst. Man Cybern. Part B, 2009
IEEE Trans. Ind. Electron., 2009
2008
Adaptive Control of Antilock Braking System Using Grey Multilayer Feedforward Neural Networks.
Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008
2007
Simulated and experimental study of antilock braking system using grey sliding mode control.
Proceedings of the IEEE International Conference on Systems, 2007