Toshisada Mariyama

According to our database1, Toshisada Mariyama authored at least 15 papers between 2008 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

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
Stability-Certified Reinforcement Learning via Spectral Normalization.
CoRR, 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

Can Increasing Input Dimensionality Improve Deep Reinforcement Learning?
Proceedings of the 37th International Conference on Machine Learning, 2020

Deep Reactive Planning in Dynamic Environments.
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

Automatic Design of Neural Network Structures Using AiS.
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
Towards a Comparative Theory of the Primates' Tool-Use Behavior.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008


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