The 5G technology that is on the horizon is being described as a once-in-a-generation technological advent. The massive capacity, ultra-low latency, and high reliability of 5G communications will enable entire new ecosystems of connected technologies to flourish. In the field of robotics, this will mean everything from highly precise industrial robots that can be controlled wirelessly or even remotely, to coordinated fleets of small consumer robots in the household. With the introduction of 5G into robotics technology, our robots can become smarter, more capable, and more efficient than ever before.
So says Dev Singh, Qualcomm Technologies Inc. Director of Business Development for Robotics. Singh will discuss just how 5G will enable this new generation of connected robots at the Robotics Summit & Expo, an upcoming event that emphasizes the design and development of commercially viable robotics and intelligent systems products – wholly new products and services that are to be used outside of laboratory environments and sold at a profit.
Dedicated tracks provide technical professionals with the information they need to develop the next generation of commercial class robotics and intelligent systems products and services.
5G networks are digital cellular networks characterized by a service area divided into small geographical areas called cells. Standards bodies have defined main uses for 5G that include Enhanced Mobile Broadband (eMBB), Ultra Reliable Low Latency Communications (URLLC), and Massive Machine Type Communications (mMTC).
eMBB uses 5G as a progression from 4G LTE mobile broadband services, with faster connections, higher throughput, and more capacity. URLLC refers to use of the network for mission-critical applications that require uninterrupted and robust data exchange. mMTC would be used to connect to a large number of low power, low-cost devices in a wide area.
Singh is responsible for P&L, business development, product strategy, focusing on innovation, R&D, and execution for accelerating the growth of the robotics segment for QTI. Prior to this role, he led the execution of multimedia IP development across Snapdragon application processor platforms for mobile, IoT and automotive segments. Singh began his career at Texas Instruments and served in various engineering and leadership roles for execution, operations, product management and new product development. He holds an M.S. in Electrical Engineering from University of Arkansas.