Designing efficient sensors for soft robotics aiming at human machine interaction remains a challenge. Here, we report a smart soft-robotic gripper system based on triboelectric nanogenerator sensors to capture the continuous motion and tactile information for soft gripper. With the special distributed el...
Compliant strain sensors are crucial for soft robots’ perception and autonomy. However, their deformable bodies and dynamic actuation pose challenges in predictive sensor manufacturing and long-term robustness. This necessitates accurate sensor modelling and well-controlled sensor structural changes under st...
” said Aslan Miriyev, who led the research. “The possibilities are extensive, from robotics, where they can contribute to more lifelike and responsive interactions, to healthcare, where they could be used in advanced diagnostic tools. Our ISMC-based precisely...
Researchers at Yale University have recently introduced an approach that could enable the sustainable manufacturing of compliant sensors for soft robotics applications. This approach, presented in a Science Robotics paper, involves the use of an ethanol-based Pickering emulsion that spontaneously coagulates...
Transparent Pneumatic Tactile Sensors for Soft Biomedical Robotics 用于软生物医学机器人的透明气动触觉传感器 Sinuo Zhao et al. https://www.mdpi.com/2346584 集成到软机器人中的透明压力传感器示意图。 文章亮点: (1) 本文介绍了一种新型触觉传感器的...
This makes them a great source of inspiration for soft robotics. Indeed, the union of these fields has brought about bioinspired soft robotics, with hundreds of publications on novel research each year. This review aims to survey fundamental advances in bioinspired soft actuators and sensors with ...
Castable elastomers have been used to fabricate soft robotic devices and it has been shown that the technique scales well from prototyping to mass manufacturing. However, similarly scalable techniques for integrating strain or curvature sensors into such devices are still lacking. In this paper, we ...
This chapter gives a brief overview on the properties of carbon nanotubes and their potential for actuators and sensors in soft robotics.doi:10.1007/978-3-662-44506-8_13Ackermann, ThomasSpringer Berlin Heidelberg
After training for 500 epochs, the test accuracy of the dilated RNN with the softmax-classification layer reaches 91.75%, and the test accuracy of the prototype learning reaches 94.50%, which is significantly higher than that of the model based on the softmax-classification layer. In addition,...
Rapid developments of robotics and virtual reality technology are raising the requirements of more advanced human-machine interfaces for achieving efficient parallel control. Exoskeleton as an assistive wearable device, usually requires a huge cost and c