5 accepted papers
Road pavement detection and segmentation are critical for developing autonomous road repair systems. However, developing an instance segmentation method that simultaneously performs multi-class defect detection and segmentation is challenging due to the textural simplicity of road pavement image, th…
The Datom is a novel design for a programmable matter robotic agent, proposed by Piranda and Bourgeois (2022), that can move and reconfigure by deforming its outer shell. This paper explores how the kinematic behaviour of the single Datom, paired with the stiffness of its actuators, can determine th
Recently, several morphologies, each with its advantages, have been proposed for the GelSight high-resolution tactile sensors. However, existing simulation methods are limited to flat-surface sensors, which prevents its usage with the newer sensors of non-flat morphologies in Sim2Real experiments. I…
The performance of road defect segmentation (a.k.a. pixel-level road defect detection) has been improved alongside with remarkable achievement of deep learning. Those improvements need a large-scale and well-constructed dataset. However, road surface materials or designs vary from country to country…
Most current works in Sim2Real learning for robotic manipulation tasks leverage camera vision that may be significantly occluded by robot hands during the manipulation. Tactile sensing offers complementary information to vision and can compensate for the information loss caused by the occlusions. Ho