1–11 of 11 hits
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    Can deep models help a robot to tune its controller? A step closer to self-tuning model predictive controllers

    Free access
    Mehndiratta, Mohit / Camci, Efe / Kayacan, Erdal | BASE | 2021

    Sim-to-Real Deep Reinforcement Learning for Safe End-to-End Planning of Aerial Robots

    Free access
    Ugurlu, Halil Ibrahim / Pham, Xuan Huy / Kayacan, Erdal | BASE | 2022

    Neuro-fuzzy control of antilock braking system using sliding mode incremental learning algorithm

    Topalov, Andon V. / Oniz, Yesim / Kayacan, Erdal et al. | Tema Archive | 2011

    Robust Tracking Control of Aerial Robots Via a Simple Learning Strategy-Based Feedback Linearization

    Free access
    Mehndiratta, Mohit / Kayacan, Erkan / Reyhanoglu, Mahmut et al. | BASE | 2020

    PencilNet:Zero-Shot Sim-to-Real Transfer Learning for Robust Gate Perception in Autonomous Drone Racing

    Free access
    Pham, Xuan Huy / Sarabakha, Andriy / Odnoshyvkin, Mykola et al. | BASE | 2022

    A grey sliding mode controller design for antilock braking system

    Oniz, Yesim / Kayacan, Erdal / Kaynak, Okyay | Tema Archive | 2007

    PredictiveSLAM - Robust Visual SLAM Through Trajectory-Aware Object Masking

    Heis, Micha / Hansen, Jakob Grimm / Li, Dengyun et al. | IEEE | 2023

    Model Predictive Control in Aerospace Systems: Current State and Opportunities

    Eren, Utku / Prach, Anna / Koçer, Başaran Bahadır et al. | AIAA | 2017