Simulation is a widely used tool in robotics to reduce hardware consumption and gather
large-scale data. Despite previous efforts to simulate optical tactile sensors, there remain …

Manipulating deformable liner objects, such as following a cable, is easy for human beings
but presents a significant challenge for robots. Moreover, learning strategies in real world can …

When the robot tactile-motor policy trained in the simulator is transferred to the real world,
model’s performance has a great potential for degradation due to the domain gap between …

Cable-in-duct installation is one of the most challenging contact-rich interior finishing tasks
for construction robots. Such precise robotic cable manipulation skills are expected to be …

Simulation engines enable safe training of robotic skills, but domain gaps between simulated
and real sensors hinder deployment. However, existing pixel-level adaptation methods …

Magnetic soft robots exhibit attractive advantages such as nontethered constraints and remote
control capabilities, with broad prospects in environmental exploration, minimally invasive …

Background: Xuanwei lung cancer (XWLC) is well-known for its high incidence and mortality.
However, the molecular mechanism is still unclear. Methods: We performed a …

ReParameterization (RP) Policy Gradient Methods (PGMs) have been widely adopted for
continuous control tasks in robotics and computer graphics. However, recent studies have …

This brief focuses on solving the overlapping problem of multicomponent signals. A single-channel
radar signal separation algorithm based on visual separation with mask optimization …

In this study, a tunable and optically transparent water-based wideband metamaterial
absorber (MMA) is proposed and verified. By adjusting the thickness of the water layer, the …