This paper surveys recently published literature on tactile sensing in robotic manipulation to
understand effective strategies for using tactile sensing and the issues involved in tactile …

The motivation behind our work is to review and analyze the most relevant studies on deep
reinforcement learning-based object manipulation. Various studies are examined through a …

Cables are complex, high-dimensional, and dynamic objects. Standard approaches to
manipulate them often rely on conservative strategies that involve long series of very slow …

Rearranging and manipulating deformable objects such as cables, fabrics, and bags is a
long-standing challenge in robotic manipulation. The complex dynamics and high …

Vision-based tactile sensors have the potential to provide important contact geometry to
localize the objective with visual occlusion. However, it is challenging to measure high …

With the rapid development of machine learning, its powerful function in the machine vision
field is increasingly reflected. The combination of machine vision and robotics to achieve the …

Several robot manipulation tasks are extremely sensitive to variations of the physical
properties of the manipulated objects. One such task is manipulating objects by using gravity …

The past decades have seen the rapid development of tactile sensors in material,
fabrication, and mechanical structure design. The advancement of tactile sensors has …

Thin plastic bags are ubiquitous in retail stores, healthcare, food handling, recycling, homes,
and school lunchrooms. They are challenging both for perception (due to specularities and …

Sensory perception for dexterous robotic hands is an active research area and recent
progress in robotics. Effective dexterous manipulation requires robotic hands to accurately …