Gaoyang Pang

TL;DR: The proposed IoT-enabled stroke rehabilitation system based on a smart wearable armband, machine learning algorithms, and a 3-D printed dexterous robot hand can mimic the user’s gesture in a real-time manner, which shows the proposed system can be used as a training tool to facilitate rehabilitation process for the patients after stroke.

TL;DR: A conditional generative adversarial network-based approach to alleviate the intra-class variations by individually controlling the facial expressions and learning the generative and discriminative representations simultaneously is presented.

TL;DR: A three-dimensional flexible robot skin made by the piezoresistive nanocomposite is designed and fabricated based on the need for enhancement of the security performance of the collaborative robot and endowed the YuMi robot with a tactile perception like human skin.

TL;DR: Soft porous materials endowed the CoboSkin with increased sensitivity, minimal hysteresis, excellent cycling stability, and response time in the millisecond range, which enabled sensing feedback for controlling a robot arm at different levels of stiffness.

TL;DR: A comprehensive investigation of requirements for flexibility and stretchability, and methods of nano-based enhancement is exploited, and recent progress in wearable sensors—including pressure, strain, electrophysiological, electrochemical, temperature, and multifunctional sensors—is presented.