Toshisada Mariyama
According to our database1,
Toshisada Mariyama
authored at least 17 papers
between 2008 and 2024.
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Bibliography
2024
Multi-Layer, Sensorized Kirigami Grippers for Delicate Yet Robust Robot Grasping and Single-Grasp Object Identification.
IEEE Access, 2024
Robust Real-Time Model Predictive Control using Inertial Motion Prediction, Bisection, and Self-Tuning.
Proceedings of the 20th IEEE International Conference on Automation Science and Engineering, 2024
2023
Employing Multi-Layer, Sensorised Kirigami Grippers for Single-Grasp Based Identification of Objects and Force Exertion Estimation.
IROS, 2023
A Soft, Multi-Layer, Kirigami Inspired Robotic Gripper with a Compact, Compression-Based Actuation System.
IROS, 2023
2022
Soft, Multi-Layer, Disposable, Kirigami Based Robotic Grippers: On Handling of Delicate, Contaminated, and Everyday Objects.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022
On Robotic Manipulation of Flexible Flat Cables: Employing a Multi-Modal Gripper with Dexterous Tips, Active Nails, and a Reconfigurable Suction Cup Module.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022
2021
A Dexterous, Reconfigurable, Adaptive Robot Hand Combining Anthropomorphic and Interdigitated Configurations.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021
A Locally-Adaptive, Parallel-Jaw Gripper with Clamping and Rolling Capable, Soft Fingertips for Fine Manipulation of Flexible Flat Cables.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
2020
Combining Programming by Demonstration with Path Optimization and Local Replanning to Facilitate the Execution of Assembly Tasks.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 4th Conference on Robot Learning, 2020
2019
Trajectory Optimization for Unknown Constrained Systems using Reinforcement Learning.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019
2016
A Deep Neural Network Architecture Using Dimensionality Reduction with Sparse Matrices.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016
Proceedings of the Neural Information Processing - 23rd International Conference, 2016
2011
Petri net decomposition approach for bi-objective conflict-free routing for AGV systems.
Proceedings of the IEEE International Conference on Systems, 2011
2008
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008