What is rfusion?

RFusion builds on past work in robotic grasping and RFID local-ization, and is the first to enable grasping occluded objects using a fully-integrated RF-visual sensing robot. (a) Vision-based Robotic Grasping.

How does rfusion work?

Recall from ğ8.3 that the grasping network uses the target item’s location as an attention mechanism. Moreover, because the antenna can estimate its distance to the RFID, it can determine when it has picked up the target item. Hence, RFusion makes successive grasping attempts until it determines that the target object has been picked up.

What can rfusion do for You?

Rfusion has the experience, connections and products to bring your vision to life – on schedule and on budget. If you have a problem that no one else has been able to solve please contact us here, Rfusion can help. We provide empathy to your requirements and sound engineering.

Does rfusion improve the traveled distance?

This shows that RFusion improves the traveled distance by a median of 2× over the baseline. The 90th percentile traveled distance of RFusion and the baseline is 1.8 m and 2.45 m respectively. This shows that RFusion not only improves the median but also the 90th percentile by 36%.

Does rfusion optimize Trav-ELED distance for localization and grasping?

Recall from ğ4.2 that RFusion’s controller optimizes the robot’s trav-eled distance for localization and grasping. Our second experiment evaluated the distance traveled by RFusion’s gripper and compared it to a baseline and to partial implementations of RFusion.

Why is rfusion a problem?

The key challenge in designing RFusion arises from the uncer-tainty about the target object’s location and the environment. In particular, since the target object may be hidden or outside the camera’s field of view, the robot can not visually perceive it.