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A New Neural Network Feature Importance Method: Application to Mobile Robots Controllers Gain Tuning.

, , and . ICINCO, page 188-194. ScitePress, (2020)

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A Novel Gradient Feature Importance Method for Neural Networks: An Application to Controller Gain Tuning for Mobile Robots., , and . ICINCO (Selected Papers), volume 793 of Lecture Notes in Electrical Engineering, page 124-141. Springer, (2020)State and parameters observation for accurate off-road navigation of wheeled mobile robots., and . ARSO, page 1-6. IEEE, (2015)Neuroevolution with CMA-ES for Real-time Gain Tuning of a Car-like Robot Controller., , and . ICINCO (1), page 311-319. SciTePress, (2019)A modified Hybrid Reciprocal Velocity Obstacles approach for multi-robot motion planning without communication., and . IROS, page 5708-5714. IEEE, (2020)Accurate and stable mobile robot path tracking: An integrated solution for off-road and high speed context., , , , and . IROS, page 196-201. IEEE, (2010)Stabilization of a road-train of articulated vehicles., and . Robotics Auton. Syst., (2019)Online velocity fluctuation of off-road wheeled mobile robots: A reinforcement learning approach., , , , and . ICRA, page 2421-2427. IEEE, (2021)Dynamic yaw and velocity control of the 6WD skid-steering mobile robot RobuROC6 using sliding mode technique., , , and . IROS, page 4220-4225. IEEE, (2009)Experimental Validation of a Multirobot Distributed Receding Horizon Motion Planning Approach., , and . ICARCV, page 1640-1646. IEEE, (2018)Online gain setting method for path tracking using CMA-ES: Application to off-road mobile robot control., , , and . IROS, page 7697-7702. IEEE, (2020)