Automated design of pneumatic soft grippers through design-dependent multi-material topology optimization-Reference-Cited by-同舟云学术

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Automated design of pneumatic soft grippers through design-dependent multi-material topology optimization

Published:2023-04-03 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Soft Robotics (RoboSoft)
language:
Short-container-title:

Author:

Pinskier Josh¹,Kumar Prabhat²,Langelaar Matthijs³,Howard David¹

Affiliation:

1. Robotics and Autonomous Systems Group,CSIRO Data61,Brisbane,Australia

2. Indian Institute of Technology,Department of Mechanical and Aerospace Engineering,Hyderabad,Telangana,India,502285

3. TU Delft,Department of Precision and Microsystems Engineering,Delft,Netherlands

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10121903/10121916/10122069.pdf?arnumber=10122069

Reference25 articles.

1. Topology Optimized Design, Fabrication, and Characterization of a Soft Cable-Driven Gripper

2. Topology optimization approaches

3. Optimal Design of a Soft Robotic Gripper for Grasping Unknown Objects

4. On topology optimization of design‐dependent pressure‐loaded three‐dimensional structures and compliant mechanisms

5. Scalable sim-to-real transfer of soft robot designs

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Computational synthesis of locomotive soft robots by topology optimization;Science Advances;2024-07-26

2. Fin-QD: A Computational Design Framework for Soft Grippers: Integrating MAP-Elites and High-fidelity FEM;2024 IEEE 7th International Conference on Soft Robotics (RoboSoft);2024-04-14

3. Towards Bespoke Soft Grippers through Voxel-Scale Metamaterial Topology Optimisation;2024 IEEE 7th International Conference on Soft Robotics (RoboSoft);2024-04-14

4. Fin-Bayes: A Multi-Objective Bayesian Optimization Framework for Soft Robotic Fingers;Soft Robotics;2024-03-18

5. Manufacturing of 3D Printed Soft Grippers: A Review;IEEE Access;2024

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