We propose a novel search technique called IteMinder that helps users find property in a room using passive RFID and an autonomous robot. First, we attach RFID tags to the target items and at typical locations in a room. We also attach an RFID reader and a laser rangefinder to the robot. The robot can move around the entire room automatically while avoiding obstacles using the laser rangefinder. When the robot finds a tagged item, it uploads the tag ID and location information to the database. Users can then browse target items and their locations on a common web browser.

We propose a novel search technique called DrawerFinder that helps users find commodities stored in two types of storage boxes (with drawers or lids) on a shelf. First, we attach visual markers inside these storage boxes. When a user opens a box, a camera attached above the shelf detects the visual marker and the system automatically takes a picture. Next, the picture is automatically uploaded to an online database tagged with the box ID. Users can then browse these pictures using a PC or cellular phone equipped with a common web browser. We believe our system helps users find items in boxes efficiently as they can browse both pictures of boxes and the surrounding environment (e.g., who last opened the storage box) quickly.