Ben Charrow

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We describe an indoor, room-level location discovery method based on spatial variations in " wifi signatures, " i.e., MAC addresses and signal strengths of existing wireless access points. The principal novelty of our system is its organic nature; it builds signal strength maps from the natural mobility and lightweight contributions of ordinary users,(More)
  • I-Su Hst, David M Lambeth, Seth Teller, David Clark, Dorothy Curtis, Ben Charrow +3 others
  • 2009
This thesis compares approaches to the problem of discovering a mobile user's location indoors. The particular challenges of location discovery using 802.11 (Wi-Fi) signals and "organically collected" (i.e. user-generated) received signal strength maps are discussed. Several existing and novel localizer algorithms are compared on a database of organically(More)
OBJECTIVES To assess the effectiveness of a wireless network (WiFi-based) localization system (devices mounted on resident wheelchairs) in decreasing caretaker time spent searching for residents and providing alerts of residents going outdoors in a skilled nursing facility. DESIGN A controlled study over two 2-month periods approved by the institutional(More)
— Enabling a team of robots to self-organize into a multi-hop ad hoc network as it simultaneously completes a task requires a system architecture that controls both the motion of each robot and their communication variables. In this paper, we consider this objective and propose a hybrid architecture composed of both centralized and decentralized components.(More)
The MIT Faculty has made this article openly available. Please share how this access benefits you. Your story matters. Abstract This paper describes the architecture and implementation of a distributed autonomous gardening system with applications in urban/indoor precision agriculture. The garden is a mesh network of robots and plants. The gardening robots(More)
  • David M Lambeth, Seth Teller, David Clark, Dorothy Curtis, Ben Charrow, Rj Ryan +2 others
  • 2009
This thesis compares approaches to the problem of discovering a mobile user's location indoors. The particular challenges of location discovery using 802.11 (Wi-Fi) signals and " organically collected " (i.e. user-generated) received signal strength maps are discussed. Several existing and novel localizer algorithms are compared on a database of organically(More)
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