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Robots of the Lost Arc: Learning to Dynamically Manipulate Fixed-Endpoint Ropes and Cables., , , , и . CoRR, (2020)Learning to Rearrange Deformable Cables, Fabrics, and Bags with Goal-Conditioned Transporter Networks., , , , , , и . CoRR, (2020)Learning Self-Supervised Representations from Vision and Touch for Active Sliding Perception of Deformable Surfaces., , , , , , и . CoRR, (2022)Deep learning can accelerate grasp-optimized motion planning., , , и . Sci. Robotics, 5 (48): 7710 (2020)Dex-Net 1.0: A cloud-based network of 3D objects for robust grasp planning using a Multi-Armed Bandit model with correlated rewards., , , , , , , , , и . ICRA, стр. 1957-1964. IEEE, (2016)High-dimensional Winding-Augmented Motion Planning with 2D topological task projections and persistent homology., , , и . ICRA, стр. 24-31. IEEE, (2016)Design of parallel-jaw gripper tip surfaces for robust grasping., , , , , , , и . ICRA, стр. 2831-2838. IEEE, (2017)Analysis of part motion on a longitudinally vibrating plate., , и . IROS, стр. 421-427. IEEE, (1997)Models of human-centered automation in a debridement task., , , , и . IROS, стр. 5784-5789. IEEE, (2015)A robot path planning framework that learns from experience., , и . ICRA, стр. 3671-3678. IEEE, (2012)