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Genetic Programming Applied to Biped Locomotion Control with Sensory Information.

, , , , and . ICINCO (1), page 53-62. SciTePress, (2014)

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Head Motion Stabilization During Quadruped Robot Locomotion: Combining CPGs and Stochastic Optimization Methods., , , , and . IJNCR, 2 (1): 39-62 (2011)Generalized Multiobjective Evolutionary Algorithm Guided by Descent Directions., , and . J. Math. Model. Algorithms in OR, 13 (4): 387-403 (2014)Head motion stabilization during quadruped robot locomotion: Combining dynamical systems and a genetic algorithm., , , and . ICRA, page 2294-2299. IEEE, (2009)Gait feature selection in walker-assisted gait using NSGA-II and SVM hybrid algorithm., , , and . EUSIPCO, page 1173-1177. IEEE, (2014)Reinforcement learning approach to locomotion adaptation in sloped environments., , and . ICARSC, page 164-169. IEEE, (2014)Stochastic algorithms assessment using performance profiles., , and . GECCO, page 933-940. ACM, (2011)A Multi-objective Approach to the Optimization of Home Care Visits Scheduling., , , , and . ICORES, page 435-442. SciTePress, (2019)Adapting Biped Locomotion to Sloped Environments - Combining Reinforcement Learning with Dynamical Systems., , , and . J. Intell. Robotic Syst., 80 (3-4): 625-640 (2015)Pedaling parameters behavior on healthy subjects: Towards a rehabilitation indication., , , , , and . EUSIPCO, page 2000-2004. IEEE, (2014)Using Cost-regularized Kernel Regression with a high number of samples., , and . ICARSC, page 199-204. IEEE, (2014)