Proceedings of the National Academy of Sciences of the United States of America
Dec 22, 2025
Humanoid robots with advanced sensory capabilities are increasingly demanded for empathetic, close-contact interactions with humans. Electronic skin (E-skin) is a key enabling technology for such tactile perception. However, current E-skins are limit...
Electronic skin for robotics often suffers from limited scalability, high fabrication costs, and inflexible designs, restricting its ability to support multimodal sensing and customization. To address these challenges, we propose a robotic e-skin fab...
Magnetic soft robots offer significant potential for biomedical applications, as recent advances in magnetic programming and 3D printing technologies have enabled the fabrication of increasingly complex and multifunctional structures. However, curren...
The impact of Pivotal Response Treatment (PRT) assisted by the social robot Pepper on the emotional regulation and treatment adherence of children with autism spectrum disorder (ASD) and their caregivers is explored. Given the integration of technolo...
Bacterial-mediated drug delivery has emerged as a promising strategy for disease treatment, leveraging bacteria's innate ability to penetrate biological barriers and target diseased tissues. However, existing bacteria-nanoparticle hybrid systems ofte...
An augmented strategy for constructing intelligent soft robots includes the transfer of biogenic features from nature to man-made artificial systems serving a range of life-like functions. Inspired by living technology, we have customized macroscale ...
International journal of neural systems
Dec 6, 2025
In a world where social interaction presents challenges for children with Autism Spectrum Disorder (ASD), robots are stepping in as allies in emotional learning. This study examined how affective interactions with a humanoid robot elicited physiologi...
Robotic grasping is crucial in manufacturing, logistics, and service robotics, but existing methods struggle with object occlusion and complex arrangements in cluttered scenes. We propose the Generative Residual Attention Network (GR-AttNet), based o...
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