activity
20052022
most citedFM Backscatter: Enabling Connected Cities and Smart Fabrics

63 citations · 115 across the 6 of their papers we have counts for

collaborators

10 papers

eess.SY2022

An Analytical Model for Stepwise Adiabatic Driver Energy Consumption

Eric J. Carlson, Joshua R. Smith

This paper presents a complete closed-form analytical model for determining the per-cycle energy consumption of stepwise adiabatic drivers used for driving a capacitive load such a…

cs.RO2022

Improved Object Pose Estimation via Deep Pre-touch Sensing

Patrick Lancaster, Boling Yang, Joshua R. Smith

For certain manipulation tasks, object pose estimation from head-mounted cameras may not be sufficiently accurate. This is at least in part due to our inability to perfectly calibr…

cs.NI2020

Advances and Open Problems in Backscatter Networking

Vamsi Talla, Joshua Smith, Shyamnath Gollakota

Despite significant research in backscatter communication over the past decade, key technical open problems remain under-explored. Here, we first systematically lay out the design…

cs.RO2018

Improved Proximity, Contact, and Force Sensing via Optimization of Elastomer-Air Interface Geometry

Patrick E. Lancaster, Joshua R. Smith, Siddhartha S. Srinivasa

We describe a single fingertip-mounted sensing system for robot manipulation that provides proximity (pre-touch), contact detection (touch), and force sensing (post-touch). The sen…

cs.NI2018

Wireless Quantization Index Modulation: Enabling Communication Through Existing Signals

Zerina Kapetanovic, Vamsi Talla, Aaron Parks +2

As the number of IoT devices continue to exponentially increase and saturate the wireless spectrum, there is a dire need for additional spectrum to support large networks of wirele…

cs.ET20174 cited

Ultra-low-power Wireless Streaming Cameras

Saman Naderiparizi, Mehrdad Hessar, Vamsi Talla +2

Wireless video streaming has traditionally been considered an extremely power-hungry operation. Existing approaches optimize the camera and communication modules individually to mi…