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Employing Multi-Layer, Sensorised Kirigami Grippers for Single-Grasp Based Identification of Objects and Force Exertion Estimation.

, , , , , , , , и . IROS, стр. 6433-6440. (2023)

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Petri net decomposition approach for bi-objective conflict-free routing for AGV systems., , , , , и . SMC, стр. 820-825. IEEE, (2011)Stability-Certified Reinforcement Learning via Spectral Normalization., , , и . CoRR, (2020)A Soft, Multi-Layer, Kirigami Inspired Robotic Gripper with a Compact, Compression-Based Actuation System., , , , , , , и . IROS, стр. 4488-4495. (2023)On Robotic Manipulation of Flexible Flat Cables: Employing a Multi-Modal Gripper with Dexterous Tips, Active Nails, and a Reconfigurable Suction Cup Module., , , , , , , , , и . IROS, стр. 1602-1608. IEEE, (2022)Deep Reactive Planning in Dynamic Environments., , , , , , , и . CoRL, том 155 из Proceedings of Machine Learning Research, стр. 1943-1957. PMLR, (2020)Can Increasing Input Dimensionality Improve Deep Reinforcement Learning?, , , , и . ICML, том 119 из Proceedings of Machine Learning Research, стр. 7424-7433. PMLR, (2020)Multi-Layer, Sensorized Kirigami Grippers for Delicate Yet Robust Robot Grasping and Single-Grasp Object Identification., , , , , , , , , и 1 other автор(ы). IEEE Access, (2024)Employing Multi-Layer, Sensorised Kirigami Grippers for Single-Grasp Based Identification of Objects and Force Exertion Estimation., , , , , , , , и . IROS, стр. 6433-6440. (2023)Automatic Design of Neural Network Structures Using AiS., , и . ICONIP (2), том 9948 из Lecture Notes in Computer Science, стр. 280-287. (2016)A Deep Neural Network Architecture Using Dimensionality Reduction with Sparse Matrices., , , , , и . ICONIP (4), том 9950 из Lecture Notes in Computer Science, стр. 397-404. (2016)