Robots are going to handle many things for us in the future. They are not as capable of perceiving their environment like humans, so there are always limitations. RF Grasp is a robotic system that can grasp hidden objects in unstructured environments. It uses radio frequency perception to identify and locate objects.
As the researchers explain:
RF-Grasp relies on an eye-in-hand camera and batteryless RFID tags attached to objects of interest. It introduces two main innovations: (1) an RF-visual servoing controller that uses the RFID’s location to selectively explore the environment and plan an efficient trajectory toward an occluded target, and (2) an RF-visual deep reinforcement learning network that can learn and execute efficient, complex policies for decluttering and grasping.
[HT]
