Friday, February 11, 2022
4:10 – 5:00 p.m.
Dr. Dinesh Bharadia
Asst. Professor, Center for Wireless Communications, University of California San Diego
“Wireless sensing meets autonomous systems: Deployable Low-Overhead RF Localization and Mapping”
The ability to track and locate devices and robots has become increasingly important for new and existing applications such as tracking Virtual Reality headsets, Robotics, or just your smartphone. For such purposes, in the last two decades, RF localization has gained traction, however, without any real-world deployment. Primarily due to lack of low-overhead deployment and being accurate and robust. I will present new designs for localization systems that leverage novel hardware and software capabilities to push us closer to this vision.
Specifically, I will present an autonomous robot system as a platform to enable us closer to this vision:
- I will discuss enabling context-assisted accurate indoor localization, which leverages the autonomous robot to collect large-scale data sets and mapping. We develop techniques to enable accurate indoor localization within the context of a given map overcoming the shortcomings of the corner cases and providing reliable and robust location estimates.
- I will discuss the mapping requirements for these indoor environments that provide context for the predicted location. I will present a system that accurately maps the WiFi anchors in the given physical map to a few millimeters.
- Finally, I will briefly present how robotics can use WiFi as a sensor like LiDar for SLAM algorithms.
Furthermore, my group has enabled low-power and low-latency localization systems for indoor scenarios ranging from home, office to warehouse to meet next-generation Industrial IoT applications, localizing Bluetooth and UWB devices. All of this work can be found under wcsng.ucsd.edu/localization.html
Dinesh Bharadia has been faculty in ECE at the University of California San Diego since January 2018. He received his Ph.D. from Stanford University in 2016 and was a Postdoctoral Associate at MIT. Specifically, in his dissertation, he built a prototype of a radio that invalidated a long-held assumption in wireless is that radios cannot transmit and receive at the same time on the same frequency. From 2013 to 2015, he was a Principal Scientist for Kumu Networks. He commercialized his research on full-duplex radios, building a product that underwent successful field trials at Tier 1 network providers worldwide like Deutsche Telekom and SK Telecom. This product is currently under deployment. He is the principal advisor for multiple startups developed atop his research. His research interests include advancing the theory and design of modern wireless communication systems, wireless imaging, sensor networks, and wireless sensing, and broadly sensing and networking. Recently, he has been actively involved in designing cooperative autonomous systems, specifically in autonomous perception.
In recognition of his work, Dinesh was named to Forbes 30 under 30 for the science category worldwide list. Dinesh was also named a Marconi Young Scholar for outstanding wireless research and awarded the Michael Dukakis Leadership award. He was also named as one of the top 35 Innovators under 35 in the world by MIT Technology Review in 2016. Dinesh is also the recipient of the Sarah and Thomas Kailath Stanford Graduate Fellowship.
Dr. Bharadia Google Scholar Page: https://scholar.google.com/citations?user=5SjaXJsAAAAJ
On Zoom @ 4:10 p.m. on Friday, 2/18/22
Join Zoom Meeting
Meeting ID: 963 4348 1647