We present the design, implementation, and evaluation of RFusion, a robotic system that
can search for and retrieve RFID-tagged items in line-of-sight, non-line-of-sight, and fully …

We present the design, implementation, and evaluation of RF-Grasp, a robotic system that
can grasp fully-occluded objects in unknown and unstructured environments. Unlike prior …

Sequential robot grasping of transparent objects, where a robot removes objects one by one
from a workspace, is important in many industrial and household scenarios. We propose …

We address the challenge of finding and navigating to an object with an attached ultra-high
frequency radio-frequency identification (UHF RFID) tag. With current off-the-shelf …

Modern robots have to interact with their environment, search for objects, and move them
around. Yet, for a robot to pick up an object, it needs to identify the object's orientation and …

Nowadays, robots are heavily used in factories for different tasks, most of them including
grasping and manipulation of generic objects in unstructured scenarios. In order to better …

We present a complete software architecture for reliable grasping of household objects. Our
work combines aspects such as scene interpretation from 3D range data, grasp planning …

Adapting to uncertain environments is a key obstacle in the development of robust robotic
object manipulation systems, as there is a trade-off between the computationally expensive …

Reactive grasping, which enables the robot to successfully grasp dynamic moving objects, is
of great interest in robotics. Current methods mainly focus on the temporal smoothness of …

Industrial Cyber Physical Systems can use data and information gained from across a
variety of different environments to enable robots that are reconfigurable. Custom grasping …