Abstract Purpose of Review This review provides an overview of the most recent robotic
ultrasound systems that have contemporary emerged over the past five years, highlighting …

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 …

There has been a significant recent progress in the field of Embodied AI with researchers
develo** models and algorithms enabling embodied agents to navigate and interact …

Robotic object rearrangement combines the skills of picking and placing objects. When
object models are unavailable, typical collision-checking models may be unable to predict …

This paper provides an overview of the current state‐of‐the‐art in selective harvesting robots
(SHRs) and their potential for addressing the challenges of global food production. SHRs …

3D scene synthesis facilitates and benefits many real-world applications. Most scene
generators focus on making indoor scenes plausible via learning from training data and …

We address the problem of visually guided rearrangement planning with many movable
objects, ie, finding a sequence of actions to move a set of objects from an initial arrangement …

Object rearrangement has recently emerged as a key competency in robot manipulation,
with practical solutions generally involving object detection, recognition, gras** and high …

This paper describes a new robotic tabletop rearrangement system, and presents
experimental results. The tasks involve rearranging as many as 30 to 100 blocks, sometimes …

Nonprehensile rearrangement is the problem of controlling a robot to interact with objects
through pushing actions in order to reconfigure the objects into a predefined goal pose. In …