5 accepted papers
Tactile sensing at high speed and resolution is critical for robotic perception and control. Existing vision-based tactile sensors (VBTSs) achieve high spatial accuracy but suffer from degraded performance in dynamic interactions due to motion blur and low frame rates, limiting their effectiveness i
Estimating the 6D pose of rigid objects is a critical upstream task in many robotics applications. Most existing methods rely on RGB or RGB-D sensing modalities, which suffer from limitations under challenging lighting conditions and high-speed motion. In contrast, event-based cameras offer unique a…
While soft robots offer advantages in adaptability and safe interaction, their modeling remains challenging. This letter presents a novel, data-driven approach for model order reduction of slender soft robots using autoencoder-parameterized strain within the Geometric Variable Strain (GVS) framework…
The difficulties posed by terrain-induced slippage for wheeled rovers traversing soft terrains are critical to ensuring safe and precise mobility. While bilateral teleoperation systems offer a promising solution to this issue, the inherent network-induced delays hinder the fidelity of the closed-loo…
In this paper, we introduce a coverage path planning algorithm with adaptive viewpoint sampling to construct accurate 3D models of complex large structures using Unmanned Aerial Vehicle (UAV). The developed algorithm, Adaptive Search Space Coverage Path Planner (ASSCPP), utilizes an existing 3D refe…