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Asymptotically optimal kinematic design of robots using motion planning., , and . Auton. Robots, 43 (2): 345-357 (2019)Magnetic resonance fingerprinting based on realistic vasculature in mice., , , , , , , , , and 1 other author(s). NeuroImage, (2017)Asymptotically Optimal Motion Planning for Tasks Using Learned Virtual Landmarks., and . IEEE Robotics Autom. Lett., 1 (2): 1036-1043 (2016)Asymptotically Optimal Motion Planning for Learned Tasks Using Time-Dependent Cost Maps., , and . IEEE Trans Autom. Sci. Eng., 12 (1): 171-182 (2015)Interleaving Optimization with Sampling-Based Motion Planning (IOS-MP): Combining Local Optimization with Global Exploration., , and . CoRR, (2016)Probability-Weighted Temporal Registration for Improving Robot Motion Planning and Control Learned from Demonstrations., and . WAFR, volume 14 of Springer Proceedings in Advanced Robotics, page 246-263. Springer, (2018)Kinematic Design Optimization of a Parallel Surgical Robot to Maximize Anatomical Visibility via Motion Planning., , , , , , , and . ICRA, page 926-933. IEEE, (2018)Closed-loop global motion planning for reactive execution of learned tasks., and . IROS, page 1754-1760. IEEE, (2014)Soft Actuators and Robotic Devices for Rehabilitation and Assistance., , , , , , , , and . Adv. Intell. Syst., (2022)Barium Titanate Elastomer composite based capacitive stretch sensor., , , , and . AIM, page 1233-1237. IEEE, (2019)