About this document
Advanced Intelligent Systems - 2024 - Čakurda - Deep Learning Methods in Soft Robotics Architectures and Applications by csvelayutham is a document available to read on EtoBox.
This review discusses the integration of deep learning methods in soft robotics, highlighting their architectures and applications. It categorizes deep learning approaches into supervised, unsupervised, semi-supervised, and reinforcement learning, while analyzing their effectiveness in various soft robotic applications such as manipulators, grippers, and bioinspired robots. The document also identifies existing challenges and future prospects for enhancing the performance of soft machines in real-world envi
- Author
- csvelayutham
- Language
- EN