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An Active Learning Framework for Constructing High-Fidelity Mobility Maps.

, , , and . IEEE Trans. Veh. Technol., 70 (10): 9803-9813 (2021)

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Role Negotiation in a Haptic Shared Control Framework., , , , , , and . AutomotiveUI (adjunct), page 179-184. ACM, (2016)A double-worst-case formulation for improving the robustness of an MPC-based obstacle avoidance algorithm to parametric uncertainty., , , and . ACC, page 5562-5567. IEEE, (2017)An Active Learning Framework for Constructing High-Fidelity Mobility Maps., , , and . IEEE Trans. Veh. Technol., 70 (10): 9803-9813 (2021)Scalable Solvers for Cone Complementarity Problems in Frictional Multibody Dynamics., , , and . HPEC, page 1-7. IEEE, (2019)Evaluation of a Predictor-Based Framework in High-Speed Teleoperated Military UGVs., , , , and . IEEE Trans. Hum. Mach. Syst., 50 (6): 561-572 (2020)A model-free predictor framework for tele-operated vehicles., , , , and . ACC, page 4573-4578. IEEE, (2015)Stochastic mobility prediction of ground vehicles over large spatial regions: a geostatistical approach., , and . Auton. Robots, 41 (2): 311-331 (2017)Moving obstacle avoidance for large, high-speed autonomous ground vehicles., , , , and . ACC, page 5568-5573. IEEE, (2017)Computer Implementation Of Hierarchical FE-DE Multiscale Approach For Modeling Deformable Soil In Multibody Dynamics Simulation, , , , , and . Proceedings Of The ASME International Design Engineering Technical Conferences And Computers And Information In Engineering Conference, 6 : 14th International Conference on Multibody Systems, Nonlinear Dynamics, and Control, page DETC2018-86110, V006T09A028. ASME, (2018)Online terrain estimation for autonomous vehicles on deformable terrains., , , , , and . CoRR, (2019)