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Using parallel stiffness to achieve improved locomotive efficiency with the Sandia STEPPR robot., , , , , , , , , and 4 other author(s). ICRA, page 835-841. IEEE, (2015)Facial expression recognition using Gabor motion energy filters., , and . CVPR Workshops, page 42-47. IEEE Computer Society, (2010)Whose Vote Should Count More: Optimal Integration of Labels from Labelers of Unknown Expertise., , , , and . NIPS, page 2035-2043. Curran Associates, Inc., (2009)What Do We Learn from a Large-Scale Study of Pre-Trained Visual Representations in Sim and Real Environments?, , , , , , , , , and 3 other author(s). ICRA, page 17515-17521. IEEE, (2024)STAC: Simultaneous tracking and calibration., , , , and . Humanoids, page 469-476. IEEE, (2013)Learning spatiotemporal features by using independent component analysis with application to facial expression recognition., , , , and . Neurocomputing, (2012)Estimating dynamic properties of objects from appearance., , and . ICDL-EPIROB, page 1-6. IEEE, (2013)Control by Gradient Collocation: Applications to optimal obstacle avoidance and minimum torque control., , and . IROS, page 1173-1179. IEEE, (2012)Team IHMC's Lessons Learned from the DARPA Robotics Challenge: Finding Data in the Rubble., , , , , , , , , and 14 other author(s). J. Field Robotics, 34 (2): 241-261 (2017)What do we learn from a large-scale study of pre-trained visual representations in sim and real environments?, , , , , , , , , and 3 other author(s). CoRR, (2023)