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

Microrobotics has opened new horizons for various applications, especially in medicine.
However, it also witnessed challenges in achieving maximum optimal performance. One key …

The concept of a nano-laboratory inside an SEM involves performing a sequence of tasks in
a continuous pattern. Robotic systems with nanoscale motion resolution facilitate in-situ …

As a new mode of urban air mobility, the Unmanned Aerial Vehicle (UAV) is a promising
transport platform to transport high-payload in a large urban environment. However, the high …

Path planning algorithms are indispensable for controlling micro-/nanorobots through
complex and unknown environments in the biomedical and medical fields. With the tasks …

Microplastic contamination of food and beverages has become a global concern in recent
years. As a novel approach, magnetic microrobots offer promising potential to address …

In modern robotic systems, path planning is a critical technology. This study enhances the
Twin Delayed Deep Deterministic Policy Gradient (TD3) algo-rithm by incorporating …