Nonlinear Modeling for Soft Pneumatic Actuators via Data-Driven Parameter Estimation-Reference-Cited by-同舟云学术

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Nonlinear Modeling for Soft Pneumatic Actuators via Data-Driven Parameter Estimation

Published:2024-07-15 Issue: Volume: Page:642-648
ISSN:
Container-title:2024 IEEE International Conference on Advanced Intelligent Mechatronics (AIM)
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Author:

Yang Wu-Te¹,Stuart Hannah S.²,Kürkçü Burak³,Tomizuka Masayoshi¹

Affiliation:

1. University of California, Berkeley, MSC Lab,Department of Mechanical Engineering,USA

2. University of California, Berkeley,Embodied Dexterity Lab,Department of Mechanical Engineering,USA

3. Hacettepe University Turkey, and also is a Research Scholar at the University of California,Department of Computer Engineering,Berkeley,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10636941/10636942/10637145.pdf?arnumber=10637145

Reference34 articles.

1. Soft Robotics: Challenges and Perspectives

2. Meta-Learning-Based Optimal Control for Soft Robotic Manipulators to Interact with Unknown Environments

3. Modeling and Experimental Evaluation of Bending Behavior of Soft Pneumatic Actuators Made of Discrete Actuation Chambers

4. Soft Grippers for Automatic Crop Harvesting: A Review

5. Soft Robots for Cluttered Environments Based on Origami Anisotropic Stiffness Structure (OASS) Inspired by Desert Iguana

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