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Learning to Locomote with Artificial Neural-Network and CPG-based Control in a Soft Snake Robot.

, , , , and . IROS, page 7758-7765. IEEE, (2020)

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Bottom-Up Symbolic Control: Attractor-Based Planning and Behavior Synthesis., and . IEEE Trans. Automat. Contr., 58 (12): 3142-3155 (2013)Learning to Locomote with Deep Neural-Network and CPG-based Control in a Soft Snake Robot., , , and . CoRR, (2020)A pk-Adaptive Mesh Refinement for Pseudospectral Method to Solve Optimal Control Problem., , , , and . IEEE Access, (2019)Symbolic planning and control using game theory and grammatical inference., , , , , and . Eng. Appl. Artif. Intell., (2015)On passivity analysis for stochastic neural networks with interval time-varying delay., , , and . Neurocomputing, 73 (4-6): 795-801 (2010)A hazmat transportation monitoring system based on Global Positioning System / Beidou Navigation Satellite System and RS485 bus., , , , and . CISP-BMEI, page 1059-1063. IEEE, (2016)Pareto efficiency in synthesizing shared autonomy policies with temporal logic constraints., and . CoRR, (2014)Compositional planning in Markov decision processes: Temporal abstraction meets generalized logic composition., and . CoRR, (2018)Scalable User-Substation Assignment with Big Data from Power Grids., , , , , and . IEEE Trans. Big Data, 5 (2): 209-222 (2019)Conditional Computation for Continual Learning., , and . CoRR, (2019)