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Navigation Among Movable Obstacles Using Machine Learning Based Total Time Cost Optimization.

, , , и . IROS, стр. 11321-11327. (2023)

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A Novel Gradient Feature Importance Method for Neural Networks: An Application to Controller Gain Tuning for Mobile Robots., , и . ICINCO (Selected Papers), том 793 из Lecture Notes in Electrical Engineering, стр. 124-141. Springer, (2020)Neuroevolution with CMA-ES for Real-time Gain Tuning of a Car-like Robot Controller., , и . ICINCO (1), стр. 311-319. SciTePress, (2019)State and parameters observation for accurate off-road navigation of wheeled mobile robots., и . ARSO, стр. 1-6. IEEE, (2015)A modified Hybrid Reciprocal Velocity Obstacles approach for multi-robot motion planning without communication., и . IROS, стр. 5708-5714. IEEE, (2020)Accurate and stable mobile robot path tracking: An integrated solution for off-road and high speed context., , , , и . IROS, стр. 196-201. IEEE, (2010)Stabilization of a road-train of articulated vehicles., и . Robotics Auton. Syst., (2019)Online velocity fluctuation of off-road wheeled mobile robots: A reinforcement learning approach., , , , и . ICRA, стр. 2421-2427. IEEE, (2021)Dynamic yaw and velocity control of the 6WD skid-steering mobile robot RobuROC6 using sliding mode technique., , , и . IROS, стр. 4220-4225. IEEE, (2009)Experimental Validation of a Multirobot Distributed Receding Horizon Motion Planning Approach., , и . ICARCV, стр. 1640-1646. IEEE, (2018)Navigation Among Movable Obstacles Using Machine Learning Based Total Time Cost Optimization., , , и . IROS, стр. 11321-11327. (2023)