Editorial: Machine Learning Techniques for Soft Robots
Author:
Publisher
Frontiers Media SA
Subject
Artificial Intelligence,Computer Science Applications
Reference8 articles.
1. A Deep Learning Method for Vision Based Force Prediction of a Soft Fin ray Gripper Using Simulation Data;De Barrie;Front. Robotics AI,2021
2. A Vision-Based Sensing Approach for a Spherical Soft Robotic Arm;Hofer;Front. Robot AI,2021
3. Using First Principles for Deep Learning and Model-Based Control of Soft Robots;Johnson;Front. Robot AI,2021
4. Development and Grasp Stability Estimation of Sensorized Soft Robotic Hand;Khin;Front. Robot AI,2021
5. Design Optimization of a Pneumatic Soft Robotic Actuator Using Model-Based Optimization and Deep Reinforcement Learning;Raeisinezhad;Front. Robot AI,2021
Cited by 5 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. Data-oriented Inverse Kinematics Applied to Soft Robots With Fiducial Markers for Shape Feedback;2023 Latin American Robotics Symposium (LARS), 2023 Brazilian Symposium on Robotics (SBR), and 2023 Workshop on Robotics in Education (WRE);2023-10-09
2. Machine Learning Best Practices for Soft Robot Proprioception;2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS);2023-10-01
3. Artificial intelligence foundation and pre-trained models: Fundamentals, applications, opportunities, and social impacts;Simulation Modelling Practice and Theory;2023-07
4. Research and application of a multi-degree-of-freedom soft actuator;Sensors and Actuators A: Physical;2022-05
5. Self-Concern Across Scales: A Biologically Inspired Direction for Embodied Artificial Intelligence;Frontiers in Neurorobotics;2022-04-25
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