4 accepted papers
Deformable object manipulation is pivotal to numerous real-world robotic applications. A promising paradigm in this field is the shape servoing task, focusing on controlling deformable objects into desired goal shapes. However, prior works typically rely on impractical goal shape acquisition methods…
Monocular depth estimation (MDE) provides a useful tool for robotic perception, but its predictions are often uncertain and inaccurate in challenging environments such as surgical scenes where textureless surfaces, specular reflections, and occlusions are common. To address this, we propose ProbeMDE…
Autonomous surgical robots are a promising solution to the increasing demand for surgery amid a shortage of surgeons. Recent work has proposed learning-based approaches for the autonomous manipulation of soft tissue. However, due to variability in aspects such as tissue geometries and stiffnesses, t…
Mechanical metamaterials are microscale patterned structures that are designed to have specific mechanical properties at a macro-scale that are atypical of natural materials. Robotic manipulators composed of these materials can exhibit deformation and motion capabilities that can be customized and e…