Tracking the 6D pose of objects in video sequences is important for robot manipulation. Most
prior efforts, however, often assume that the target object's CAD model, at least at a category …

Robots operating in domestic environments generally need to interact with articulated
objects, such as doors, cabinets, dishwashers or fridges. In this work, we present a novel …

Recent progress in robotic manipulation has dealt with the case of previously unknown
objects in the context of relatively simple tasks, such as bin-picking. Existing methods for …

Advanced grasp control algorithms could benefit greatly from accurate tracking of the object
as well as an accurate all-around knowledge of the system when the robot attempts a grasp …

Anytime a robot manipulator is controlled via visual feedback, the transformation between
the robot and camera frame must be known. However, in the case where cameras can only …

This paper develops a method to fuse stereo vision, force-torque sensor, and joint angle
encoder measurements to estimate and track the location of a grasped object within the …

One of the big challenges for robots working outside of traditional industrial settings is the
ability to robustly and flexibly grasp and manipulate tools for various tasks. When a tool is …

This work proposes a robotic pipeline for picking and constrained placement of objects
without geometric shape priors. Compared to recent efforts developed for similar tasks …

Highlights•A statistical modelling methodology for fruit detectability is presented.•Descriptive
fruit detectability statistics are presented for single and multiple viewpoints.•Spatial and …

Simultaneous Localization And Map** (SLAM) plays a more and more important role in
the environment perception system of Unmanned Ground Vehicle (UGV), most SLAM …