The Advancements in tactile sensors and machine learning techniques open new
opportunities for achieving intelligent grasping in robotics. Traditional robot is limited in its …

In this study, we applied Particle Filter to the state estimation of deformable object based on
force-torque sensor observations, and proposed information gain-based optimal action …

In-hand object pose estimation is challenging for humans and robots due to occlusion
caused by the hand and object. This paper proposes a soft finger that integrates inner vision …

This paper proposes a vision-based tactile sensor (VBTS) embedded into the soft hand
palm, named PaLmTac. We adopt a distributed modality design instead of overlaying …

When manipulating an object to accomplish complex tasks, humans rely on both vision and
touch to keep track of the object's 6D pose. However, most existing object pose tracking …

High-resolution visuotactile sensors are often bulky and have flat contact shapes, making it
difficult to integrate into dexterous multifinger fingertips and perform manipulation tasks …

This study aims to achieve autonomous robotic assembly under uncertain conditions arising
from imprecise goal positioning and variations in the angle of the grasped part. Soft robots …

This study investigates the integration of monocular CAD and RGB-based 6D pose
estimation into robotic lawnmowers, focusing on charging station docking. A systematic …