“Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks”の学習報告

Advances in soft robotics, materials science, and stretchable electronics have enabled rapid progress in soft grippers. Here, a critical overview of soft robotic grippers is presented, covering different material sets, physical principles, and device architectures. Soft gripping can be categorized into three technologies, enabling grasping by: a) actuation, b) controlled stiffness, and c) controlled adhesion. A comprehensive review of each type is presented. Compared to rigid grippers, end-effectors fabricated from flexible and soft components can often grasp or manipulate a larger variety of objects. Such grippers are an example of morphological computation, where control complexity is greatly reduced by material softness and mechanical compliance. Advanced materials and soft components, in particular silicone elastomers, shape memory materials, and active polymers and gels, are increasingly investigated for the design of lighter, simpler, and more universal grippers, using the inherent functionality of the materials. Embedding stretchable distributed sensors in or on soft grippers greatly enhances the ways in which the grippers interact with objects. Challenges for soft grippers include miniaturization, robustness, speed, integration of sensing, and control. Improved materials, processing methods, and sensing play an important role in future research.

https://onlinelibrary.wiley.com/doi/pdf/10.1002/adma.201707035

Soft Robotic Grippers.

Survey on human–robot collaboration in industrial settings: Safety, intuitive interfaces and applications

Augmented reality applications in design and manufacturing

https://cyberleninka.org/article/n/403409.pdf

A review of numerical analysis of friction stir welding

This survey presents a literature review on friction stir welding (FSW) modeling with a special focus on the heat generation due to the contact conditions between the FSW tool and the workpiece. The physical process is described and the main process parameters that are relevant to its modeling are highlighted. The contact conditions (sliding/sticking) are presented as well as an analytical model that allows estimating the associated heat generation. The modeling of the FSW process requires the knowledge of the heat loss mechanisms, which are discussed mainly considering the more commonly adopted formulations. Different approaches that have been used to investigate the material flow are presented and their advantages/drawbacks are discussed. A reliable FSW process modeling depends on the fine tuning of some process and material parameters. Usually, these parameters are achieved with base on experimental data. The numerical modeling of the FSW process can help to achieve such parameters with less effort and with economic advantages.

Numerical modeling of friction stir welding process: a literature review

This paper presents a literature review on pattern recognition of electromyography (EMG) signals and its applications. The EMG technology is introduced and the most relevant aspects for the design of an EMG-based system are highlighted, including signal acquisition and filtering. EMG-based systems have been used with relative success to control upper- and lower-limb prostheses, electronic devices and machines, and for monitoring human behavior. Nevertheless, the existing systems are still inadequate and are often abandoned by their users, prompting for further research. Besides controlling prostheses, EMG technology is also beneficial for the development of machine learning-based devices that can capture the intention of able-bodied users by detecting their gestures, opening the way for new human-machine interaction (HMI) modalities. This paper also reviews the current feature extraction techniques, including signal processing and data dimensionality reduction. Novel classification methods and approaches for detecting non-trained gestures are discussed. Finally, current applications are reviewed, through the comparison of different EMG systems and discussion of their advantages and drawbacks.

/pdf/a-review-on-electromyography-decoding-and-pattern-35e1bbe642.pdf

A Review on Electromyography Decoding and Pattern Recognition for Human-Machine Interaction

Effect of friction stir welding parameters on morphology and strength of acrylonitrile butadiene styrene plate welds

https://estudogeral.sib.uc.pt/bitstream/10316/27383/1/Direct%20off-line%20robot%20programming%20via%20a%20common%20CAD%20package.pdf

Pedro Neto

Papers

Numerical modeling of friction stir welding process: a literature review

A Review on Electromyography Decoding and Pattern Recognition for Human-Machine Interaction

Effect of friction stir welding parameters on morphology and strength of acrylonitrile butadiene styrene plate welds

Direct off-line robot programming via a common CAD package

EMG-based online classification of gestures with recurrent neural networks