Microrobots have attracted the attention of scientists owing to their unique features to
accomplish tasks in hard-to-reach sites in the human body. Microrobots can be precisely …

After decades of development, microrobots have exhibited great application potential in the
biomedical field, such as minimally invasive surgery, drug delivery, and bio‐sensing …

Self-supervised depth learning from monocular images normally relies on the 2D pixel-wise
photometric relation between temporally adjacent image frames. However, they neither fully …

Abstract Machine learning (ML) has revolutionized robotics by enhancing perception,
adaptability, decision-making and more, enabling robots to work in complex scenarios …

Human beings encompass sophisticated microcirculation and microenvironments,
incorporating a broad spectrum of microfluidic systems that adopt fundamental roles in …

Recent technological advances in micro-robotics have demonstrated their immense
potential for biomedical applications. Emerging micro-robots have versatile sensing …

To accurately pour drinks into various containers is an essential skill for service robots.
However, drink pouring is a dynamic process and difficult to model. Traditional deep …

Optical manipulation is a technology that enables accurate manipulation of micro-robots in
fluidic environment. Optical micro-robots, which can be used as micro-tools to perform …

Depth estimation from a stereo image pair has become one of the most explored
applications in computer vision, with most previous methods relying on fully supervised …

Abstract Three-dimensional (3D) pose estimation of micro/nano-objects is essential for the
implementation of automatic manipulation in micro/nano-robotic systems. However, out-of …