One-shot Learning Closed-loop Manipulation of Soft Slender Objects Based on a Planar Polynomial Curvature Model
Author:
Affiliation:
1. Cognitive Robotics Department,The Netherlands
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9762008/9762065/09762089.pdf?arnumber=9762089
Reference28 articles.
1. Robot Learning-Based Pipeline for Autonomous Reshaping of a Deformable Linear Object in Cluttered Backgrounds
2. FEM-based training of artificial neural networks for modular soft robots
3. Model-Based Reinforcement Learning for Closed-Loop Dynamic Control of Soft Robotic Manipulators
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1. An Empirical Investigation on Variational Autoencoder-Based Dynamic Modeling of Deformable Objects from RGB Data;2024 32nd Mediterranean Conference on Control and Automation (MED);2024-06-11
2. Soft Robot Design, Manufacturing, and Operation Challenges: A Review;Journal of Manufacturing and Materials Processing;2024-04-16
3. Piecewise Affine Curvature model: a Reduced-Order Model for Soft Robot-Environment Interaction Beyond PCC;2023 IEEE International Conference on Soft Robotics (RoboSoft);2023-04-03
4. An Experimental Validation of the Polynomial Curvature Model: Identification and Optimal Control of a Soft Underwater Tentacle;IEEE Robotics and Automation Letters;2022-10
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