Intelligent soft robotic fingers with multi-modality perception ability

Machine learning-assisted novel recyclable flexible triboelectric nanogenerators for intelligent motion

“…With the development of the Internet and the advent of the smart era, wearable electronic devices have become a focal point of research in various domains, including the Internet of Things, health monitoring, and sports monitoring. 1 , 2 , 3 , 4 , 5 These devices can either be implanted inside the human body or worn on the body’s surface, including smart bracelets, smart watches, smart clothing, etc. 6 , 7 , 8 , 9 They incorporate built-in sensors to capture the user’s physiological metrics and motion data, which are subsequently processed, analyzed and presented using various algorithms.…”

A multimodal PDMS triboelectric nanogenerator sensor based on anodised aluminium oxide template preparation for object recognition

“…Convolutional neural networks (CNNs) have enjoyed unprecedented success in computer vision, where convolutional layers allow for the automatic extraction of more implicit features in tristimulus signals, which performs cumbersome signal analysis and achieves accurate recognition, providing a promising solution for better recognition. 26–32 Combining deep learning techniques with TENG signals for the recognition process can be realised in scenarios beyond human consciousness, touch, and vision. 33–40 For example, Tian et al 41 prepared a TENG based on textile preparation for body movement monitoring.…”

Multimodal Sensors Enabled Autonomous Soft Robotic System with Self-Adaptive Manipulation

“…Regarding the second challenge, considerable efforts have been made in flexible sensors that can respond to physical unimodal stimuli but rarely enable both proprioception and tactile sensing for a soft gripper. , However, obtaining autonomy and going beyond open-loop control for soft robots require the integration of multimodal sensors into their soft bodies to provide sensory feedback. − Among the various sensing mechanisms, triboelectric nanogenerator (TENG), which harnesses the coupled effect of contact electrification and electrostatic induction, can transduce mechanical stimuli into electrical signals in a straightforward way. − The applications of TENG have increased tremendously across numerous fields including sensing, robotics systems, and healthcare. , Recent years have witnessed TENG as an advanced invention with the merits of low cost, structural compatibility, and high sensitivity, making it widely utilized in sensor design. − Previous triboelectric sensors that use diverse materials and structures have shown a good application prospect in data processing and artificial intelligent sensing. − These triboelectric sensors enhance the capabilities of robotics and promote the integration of robotics with the development of flexible structures. , However, despite their high-level responsiveness to physical stimuli, these triboelectric devices lose sensitivity for monitoring stress variation. Fortunately, a TENG shows good compatibility with other sensing mechanisms, and the flexible capacitive sensor can accurately distinguish pressure owing to its high performance and good linearity. − By measuring the capacitance variations between electrodes, the capacitive sensor can perceive pressure continuously, thereby supporting the robotic control.…”