The human hand is often viewed as the pinnacle of dexterity, and many robotic hands adopt anthropomorphic designs, while others pursue non-anthropomorphic forms for structural balance or task optimization. However, human-like asymmetry and reliance o...
Loneliness is a major psychological challenge in older adulthood, contributing to increased risks of depression, anxiety, and mortality. Conversational agents - technologies that interact with users via natural language - have emerged as potential to...
Predicting the steering angle of robots is a core challenge in autonomous navigation. This paper proposes a novel end-to-end prediction network that integrates non-local attention and lane line guidance mechanisms to significantly reduce computationa...
The thumb plays a crucial role in hand function, yet its proprioceptive abilities remain poorly understood. Here we quantified dynamic thumb localization ability, as well as how this ability adapts to a perturbation, in unimpaired participants. For t...
Conventional aquatic robots are typically constrained by fixed morphology and single-mode locomotion, limiting adaptability to unstructured environments. Inspired by the diverse fin-driven locomotion strategies of natural fish, we present a self-reco...
In response to the urgent need for efficient and accurate dynamic grasping in automated logistics, this study proposes the VRCDS, a dynamic grasping system that integrates a multi-feature weighted PnP vision algorithm with multi-robot arm collaborati...
Human intelligence arises from the interplay between a compliant morphology and a cognitive system that is capable of adaptive learning. Soft robots exhibit similar mechanical compliance, but they still need learning capabilities that can be generali...
Wall-climbing robots (WCRs) using numerous attachment/grasping mechanisms replace humans in executing repetitive or challenging tasks in space-confined, high-risk, or radioactive environments, garnering substantial research interest. Nevertheless, th...
Droplet robotics is an emerging area of research focused on harnessing externally programmable physical fields to drive liquid droplet motion and automate complex fluidic operations. One approach for driving droplet robotic systems utilizes magnetic ...
Photodynamic therapy (PDT) is an emerging approach for tumor treatment, valued for its noninvasive and stimuli-responsive properties. However, its therapeutic efficacy is often constrained by unintended damage to healthy tissues, largely due to the s...
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