Sensing for the Physical AI revolution in Humanoids
ABSTRACT
Tremendous advances in Artificial Intelligence (AI) over the past 3+ years have captivated the attention of the public, investors, and broader markets across the world. While AI-enabled advances are immediately visible in the Digital domain, Physical AI is gaining momentum as an exciting path to bring this intelligence into the physical world. The automotive industry is already working on bringing them into our transportation infrastructure. Autonomous Humanoid Robots promise tremendous opportunities to efficiently execute a broad range of functions that serve human needs, while ubiquitously integrated into our anthropocentric world. This vision, however, requires highly advanced sensing capabilities to perceive, navigate and function effectively in our 3-dimensional, hybrid, unstructured, dynamic and complex environments. Are our sensor solutions ready to provide autonomous humanoids the deeper awareness and understanding needed to operate alongside humans?
BIOGRAPHY
Dr. Uma Krishnamoorthy is the Senior Director for Sensor Technology Development and MEMS Packaging NPI at TDK InvenSense, building and delivering cutting edge sensor products to customers. She has 25+ years of experience in Sensor R&D technology and management within industrial, academic and national lab settings. Before joining TDK Invensense, she worked on R&D programs at Ayar Labs, building CMOS-based optical I/O chiplets for high-speed communication links. Previously, she led Microsensor Systems Technology and Multiphysics Modeling R&D department at Robert Bosch RTC in Sunnyvale, CA. She also worked in various technical R&D and leadership roles in Science & Technology, Satellite Systems and Systems Assessment Divisions at Sandia National Laboratory, Albuquerque, NM. She holds a Ph.D. EE degree from University of California, Davis, and conducted post-doctoral research in Optical MEMS at Stanford University.